100 sample documents related to STAT 512

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  example

  Purdue STAT 512
  

  Random sample of n=120 freshman students from small college Want to see if end-of-the-year GPA (GPA) can be predicted by his/her incoming ACT score (exam) options nocenter colors=(\'none\'); ods html close; ods rtf file=\'H:\\gpa_example.rtf\'; data example;
   
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  Homework0A

  Purdue STAT 512
  

  Fall 2012 STAT 512 HW 0A Homework 0A (Review?) due Aug. 24 The following problem set is based from information in Appendix A. This is review or new material depending on which statistics course you took as a pre-requisite. 1. (From A.3) A certain automobi
   
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  Homework0Akey

  Purdue STAT 512
  

  Fall 2012 STAT 512 HW 0A Homework 0A (Review?) due Aug. 24 The following problem set is based from information in Appendix A. This is review or new material depending on which statistics course you took as a pre-requisite. 1. (From A.3) A certain automobi
   
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  Homework1

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 1 Homework 1 (9.5 pts.) due Aug. 31 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to g
   
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  Homework1Key

  Purdue STAT 512
  

  Fall 2012 STAT 512 HW 1 Key Homework 1 (9.5 pts.) due Aug. 31 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to
   
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  Homework2

  Purdue STAT 512
  

  Fall 2012 STAT 512 HW 2 Homework 2 (14.5 pts. + 0.5 BONUS) due Sept. 7 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the
   
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  Homework2Key

  Purdue STAT 512
  

  Fall 2012 STAT 512 HW 2 Key Homework 2 (14.5 pts. + 0.5 BONUS) due Sept. 7 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want
   
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  Homework3

  Purdue STAT 512
  

  Fall 2012 STAT 512 HW 3 Homework 3 (15.5 pts. + 1 pt. BONUS) due Sept. 14 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want t
   
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  Homework3Key

  Purdue STAT 512
  

  Fall 2012 STAT 512 HW 3 Key Homework 3 (15.5 pts. + 1 pt. BONUS) due Sept. 14 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you wa
   
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  Homework4

  Purdue STAT 512
  

  Fall 2012 STAT 512 HW 3 Homework 4 (9 pts.) due Sept. 14 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to grad
   
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  Homework4Key

  Purdue STAT 512
  

  Fall 2012 STAT 512 HW 4 Homework 4 (9 pts.) due Sept. 14 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to grad
   
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  Homework5

  Purdue STAT 512
  

  Fall 2012 STAT 512 HW 5 Homework 5 (23 pts.) due Sept. 28 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to gra
   
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  matrix-example

  Purdue STAT 512
  

   
   
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  ReviewExam1 (1)

  Purdue STAT 512
  

  Review for Exam 1 You are not required to write any SAS code for this exam, however, you will be answering questions based on the SAS output (with certain key values removed). The missing values can be calculated from the values provided. Think about the
   
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  hw1

  Purdue STAT 512
  

  STAT 512 HW 1 Spring 2012 1. The percentage grades in a statistics course that two students will obtain this semester are denoted by X1 and X2 . Assume X1 and X2 are independent, with the following means and standard deviations: E cfw_X1 = 86 E cfw_X2 =
   
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  hw1s

  Purdue STAT 512
  

  STAT 512 HW 1 Spring 2012 1. The percentage grades in a statistics course that two students will obtain this semester are denoted by X1 and X2 . Assume X1 and X2 are independent, with the following means and standard deviations: E cfw_X1 = 86 E cfw_X2 =
   
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  hw14s

  Purdue STAT 512
  

   
   
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  Qz1s

  Purdue STAT 512
  

  STAT 512 QUIZ 1 KEY Based on the number of sections and the number of pages in the rst 12 chapters of a textbook on regression, we will estimate a simple linear regression function to predict the number of pages from the number of sections in a chapter. T
   
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  Qz2s

  Purdue STAT 512
  

  STAT 512 QUIZ 2 KEY Below is the output of a SAS segment proc reg; model y=x; run; Calculate a 95% prediction interval for Yh at Xh = 4.7. [Hint: Find b0 , b1 , scfw_b1 , Y , and MSE )2 from MSE and scfw_b1 . Calculate X from the expression from the outp
   
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  Qz3s

  Purdue STAT 512
  

  STAT 512 QUIZ 3 KEY Below is part of the output from SAS #3. 1. For patients of age 45, severity level 40, and anxiety level 2.7, estimate the mean satisfaction level using a point estimate. 2. Estimate the expected dierence in satisfaction level between
   
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  Qz4s

  Purdue STAT 512
  

  STAT 512 QUIZ 4 KEY Below is part of the SAS output from the following program segment. PROC REG; MODEL co1 = nic wei tar / SS1 SS2; RUN; 1. At the = .05 level, test the hypotheses H0 : w = t = 0 vs. Ha : otherwise. 2. Identify the best 2-variable model.
   
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  Qz5s

  Purdue STAT 512
  

  STAT 512 QUIZ 5 KEY A one-way ANOVA has the following partial ANOVA table. Source Model Error Total df 3 SS MS 5 F 3 14 1. Complete the ANOVA table. Solution: Source Model Error Total df 3 11 14 SS 15 18 1 3 33 1 3 MS 5 2 13 F 3 2. How many levels does th
   
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  Qz6s

  Purdue STAT 512
  

  STAT 512 QUIZ 6 KEY A two-way balanced ANOVA has the following partial ANOVA table. Source Model A B Error Total df 4 2 2 SS 50 20 39 17 1. Complete the ANOVA table and test the hypothesis that factor A has no eect at the .05 level. Solution: The complete
   
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  hw4s

  Purdue STAT 512
  

   
   
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  hw5s

  Purdue STAT 512
  

   
   
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  hw8s

  Purdue STAT 512
  

   
   
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  Calendar

  Purdue STAT 512
  

  Class Calendar, Statistics 512, Fall 2009 Division 2 (9am) and Division 4 (1:30pm) Dr. Jennings Tuesdays Aug 25 Thursdays Aug 27 Chapter 2 Chapter 1 Sep 1 2 Chapter 3 Chapter 2 Homework #1 Sep 10 3 Chapter 4 Chapter 3 Sep 15 Homework #2 Sep 17 Sep 22 4 Ch
   
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  CourseInfo

  Purdue STAT 512
  

  Version: March 15, 2012. Check web page for any updates. Course Information and Policies Statistics 512 Fall 2009 Applied Regression Analysis Dr. K. Jennings Division 2 TTh 9:0010:15am (REC 316) Division 4 TTh 1:302:45pm (REC 123) Instructor: Dr. Kristofe
   
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  Exam1Key

  Purdue STAT 512
  

  STAT 512 MidTerm I (2/15/2012) Section (circle): Spring 2012 12:30 pm 1:30 pm Name: _KEY_ INSTRUCTIONS 1. This exam is open book/open notes. All papers (but no electronic devices except for calculators) are allowed. 2. There are 4 pages in addition to the
   
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  Homework0

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 0 Homework 0 (not to be handed in) due Jan. 13 1. Find a computer that has SAS installed on it. You can use any ITaP computer lab with your career account. To install SAS on your home or lab computer, go to STEW G65 and show your s
   
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  Homework0A

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 0A Homework 0A (Review?) due Jan. 13 The following problem set is based from information in Appendix A. This is review or new material depending on which statistics course you took as a pre-requisite. 1. (From A.3) A certain automo
   
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  Homework0AKey

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 0A Homework 0A (Review?) due Jan. 13 The following problem set is based from information in Appendix A. This is review or new material depending on which statistics course you took as a pre-requisite. 1. (From A.3) A certain automo
   
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  Homework00Q

  Purdue STAT 512
  

  Statistics 512 Homework #0 Dr. K. Jennings Not to be handed in, but try to complete by Friday, August 28, 2009. 1. Find a computer that has SAS installed on it. You can use any ITaP computer lab with your career account. To install SAS on your home or lab
   
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  Homework1

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 1 Homework 1 (9 pts.) due Jan. 20 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to gra
   
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  Homework1Key

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 1 Key Homework 1 (9 pts.) due Jan. 20 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to
   
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  Homework2

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 1 Homework 2 (14 pts.) due Jan. 27 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to gr
   
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  Homework2Key

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 2 Key Homework 2 (14 pts.) due Jan. 27 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader t
   
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  Homework3

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 3 Homework 3 (15 pts. + 1 pt. BONUS) due Feb. 3 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the
   
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  Homework3Key

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 3 Key Homework 3 (15 pts. + 1 pt. BONUS) due Feb. 3 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want
   
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  Homework4

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 3 Homework 4 (10 pts.) due Feb. 10 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to gr
   
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  Homework4Key

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 4 KEY Homework 4 (10 pts.) due Feb. 10 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader t
   
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  Homework5

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 5 Homework 5 (25.5 pts.) due Feb. 24 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to
   
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  Homework5Key

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 5 Homework 5 (25.5 pts.) due Feb. 24 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to
   
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  Homework6

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 5 Homework 6 (14.5 pts.) due March 2 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to
   
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  Homework6Key

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 6 Key Homework 6 (14.5 pts.) due March 2 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader
   
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  Homework7

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 5 Homework 7 (13.5 pts. + 1 pt. BONUS) due March 9 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want
   
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  Homework8

  Purdue STAT 512
  

  Spring 2012 STAT 512 HW 8 Homework 8 (14 pts.) due March 23 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution (what you want the grader to g
   
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  NOTES_lecture2

  Purdue STAT 512
  

  Introduction to SAS: Lecture Two Shang Xue @ Purdue Statistics Getting Your Data Set Ready and Checking Your Data DATA Step: Getting Your Data Set Ready The DATA Statement The Input Statement Direct Data Entry Loading Data From Raw Data Files PROC Step: C
   
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  Questionnaire_sp12

  Purdue STAT 512
  

  STAT 512 Spring 2012 Questionnaire Please fill out this questionnaire and return by Friday, 1/13 to the instructor. Note: There are two sides to this questionnaire. Please circle your section: 3: 12:30 1:20 2: 1:30 2:20 Official name at Purdue: Full name
   
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  Questionnaire

  Purdue STAT 512
  

  Statistics 512 Fall 2009 Dr. K. Jennings Questionnaire Please fill out both sides of this questionnaire and return to me today. Full name as it will appear on your homework: What should I call you and how do I pronounce it?: Are you presently registered f
   
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  ReviewExam1

  Purdue STAT 512
  

  Review for Exam 1 You are not required to write any SAS code for this exam, however, you will be answering questions based on the SAS output (with certain key values removed). The missing values can be calculated from the values provided. Think about the
   
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  stat512final

  Purdue STAT 512
  

  Statistics 512: Final Project Due December 14, 2009 PLEASE READ CAREFULLY Introduction The aim of many statistical techniques is to provide a method for making good predictions. For the purposes of this project, you are given six sets of data, each in two
   
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  stat512prob1

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 1 Due September 4, 2009 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution. In particular, questions must be
   
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  stat512prob2

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 2 Due September 11, 2009 1. KNNL Problem 2.18 2. KNNL Problem 2.19 The next 5 problems continue the analysis of the plastic hardness data begun in the rst homework. 3. Plot the data using proc gplot. Include a smoothed func
   
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  stat512prob4

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 4 Due September 25, 2009 1. Consider the following SAS output giving 5 condence intervals for the mean of Y . If you wanted to guarantee that joint coverage of the ve condence intervals was at least 95%, what condence level
   
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  stat512prob5

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 5 Due October 2, 2009 For the following problems use the computer science data that we have been discussing in class. You can get a copy of the data set csdata.dat from the class website. The variables are: id, a numerical
   
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  stat512prob6

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 6 Due October 23, 2009 For the following 3 problems use the computer science data that we have been discussing in class. You can get a copy of the data set csdata.dat from the class website. The variables are: id, a numeric
   
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  stat512prob7

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 7 Due October 30, 2009 1. For this problem use the CS dataset examined in previous problem sets, and use the model which uses only HSM and HSE as explanatory variables to predict the response GPA. On Homework 6, Problem 3 y
   
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  stat512prob8

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 8 Due November 6, 2009 1. For this problem, the idea is to demonstrate the similarity between regression with dummy variables and ANOVA. To do this run the SAS code stat512prob8.sas. (a) Compare the ANOVA table and paramete
   
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  stat512prob9

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 9 Due November 13, 2009 1. Conduct a one-way ANOVA on the data summarized in the following table: Treatment (i) 1 2 3 4 ni 7 5 8 4 Yi 14.6 23.1 15.2 10.3 si 10.4 10.6 9.4 10.2 (a) What is the estimate of in the factor eects
   
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  stat512prob10

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 10 Due November 20, 2009 Problems 1 - 3 refer to the coin-operated terminals dataset of Problem 20.2 (ch20pr02.dat). 1. Perform the two-way ANOVA without interaction for this model. Use the results of hypothesis tests to de
   
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  stat512prob11

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 11 Due December 4, 2009 For the the next two problems use the Coil winding data of Problem 25.9 (CH24PR09.DAT) in the text. 1. Analyze this data using the random eects model. Test the null hypothesis that the mean 2 coil wi
   
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  stat512prob12

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 12 Due December 11, 2009 For the remaining problems use the Rehabilitation therapy data of problem 22.11 (CH25PR11.DAT) in the text (also see the description in Problem 16.9). 1. Analyze this data using a one-way ANOVA mode
   
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  stat512review1

  Purdue STAT 512
  

  Statistics 512: Review Problems for First Midterm Exam Keep for First Exam Review (October 6) 1. In a simple linear regression problem with n = 28, the following estimates were obtained: b0 = 4.30, b1 = 0.56, scfw_b0 = 0.012, scfw_b1 = 0.034, s = 0.1385
   
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  stat512review2

  Purdue STAT 512
  

  Statistics 512: Review Problems for Second Midterm Exam Keep for Second Exam Review (November 24) 1. Two dierent laboratory procedures were used to nd the amount of calcium in a collection of orange juice samples. The correlation between the two measures
   
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  topic1

  Purdue STAT 512
  

  Statistics 512: Applied Linear Models Topic 1 Topic Overview This topic will cover Course Overview much should be review) Simple linear regression; method of least squares (LS) KNNL Ch
   
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  Topic1

  Purdue STAT 512
  

  Example: Price Analysis for Diamond Rings in Singapore Variables Response Variable: Price in Singapore dollars (Y) Explanatory Variable: Weight of diamond in carats (X) Goals Create a scatterplot Fit a regression line diamond.sas (input) data diamonds; in
   
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  Topic2

  Purdue STAT 512
  

  Distribution of X: Example data toluca; infile \'I:\\My Documents\\Stat 512\\CH01TA01.DAT\'; input lotsize workhrs; seq=_n_; proc print data=toluca; run; Obs lotsize workhrs seq 1 80 399 1 2 30 121 2 3 50 221 3 Distribution of X: Descriptive proc univariate da
   
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  topic2a

  Purdue STAT 512
  

  Statistics 512: Applied Linear Models Topic 2a Topic Overview This topic will cover Visual Inference Resampling in R Introduction We spend a lot of time looking at graphs deciding if our data violates the underlying model assumptions. It can be dicult to
   
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  Topic3

  Purdue STAT 512
  

  Matrix A matrix is a rectangular array of elements arranged in rows and columns 1 4 A = 2 5 3 6 Dimension of a matrix is r x c r = c square matrix r = 1 (row) vector Matrix (cont) elements are either numbers of symbols rows are indicated by an i subscr
   
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  Topic4

  Purdue STAT 512
  

  CS Example: General Linear Test (cs2.sas) proc reg data=cs; model gpa=satm satv hsm hss hse; * test H0: beta1 = beta2 = 0; sat: test satm, satv; * test H0: beta3=beta4=beta5=0; hs: test hsm, hss, hse; run; CS Example: General Linear Test Test sat Results
   
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  Topic5

  Purdue STAT 512
  

  Life Insurance Example: (nknw364.sas) Y = the amount of life insurance for the 18 managers (in $1000) X1 = average annual income (in $1000) X2 = risk aversion score (0 10) Life Insurance: Input, title1 \'Insurance\'; iagnostics d data insurance; infile \'I:\\
   
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  topic5b

  Purdue STAT 512
  

  Statistics 512: Applied Linear Models Topic 5b Topic Overview This topic will cover A case study in multiple regression A variety of approaches to dealing with multiple regression data. Case Study (Green Bullets) Most bullets contain signicant amounts of
   
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  Topic6

  Purdue STAT 512
  

  ANOVA: Graphical Cereal Example: nknw677.sas Y = number of cases of cereal sold (CASES) X = design of the cereal package (PKGDES) r = 4 (there were 4 designs tested) ni = 5, 5, 4, 5 (one store had a fire) nT = 19 Cereal Example: input data cereal; infile
   
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  topic8

  Purdue STAT 512
  

  Statistics 512: Applied Linear Models Topic 8 Topic Overview This topic will cover More on Multiple Comparisons / Condence Intervals Two-way ANOVA with unequal numbers of observations in the cells Three-way ANOVA example Estimation of Factor Level Mean
   
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  topic9

  Purdue STAT 512
  

  Statistics 512: Applied Linear Models Topic 9 Topic Overview This topic will cover Random vs. Fixed Eects Using E (M S ) to obtain appropriate tests in a Random or Mixed Eects Model. Chapter 25: One-way Random Eects Design Fixed Eects vs Random Eects U
   
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  topic10

  Purdue STAT 512
  

  Statistics 512: Applied Linear Models Topic 10 Topic Overview This topic will cover One-way Analysis of Covariance ANCOVA with more than one factor / covariate One-way Analysis of Covariance ANCOVA is really ANOVA with covariates or, more simply, a comb
   
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  ReviewExam2

  Purdue STAT 512
  

  Review for Exam 2 You are not required to write any SAS code for this exam, however, you will be answering questions based on the SAS output (with certain key values removed). The missing values can be calculated from the values provided. Think about the
   
• 
  hw0

  Purdue STAT 512
  

  Statistics 512 Homework #0 Not to be handed in, but try to complete by Monday, June 21, 2010. 1. Find a computer that has SAS installed on it. You can use any ITaP computer lab with your \"career account\". To install SAS on your home or lab computer, go to
   
• 
  hw2

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 2 Due Thursday, July 8th, 2010 1. KNNL Problem 2.18 2. KNNL Problem 2.19 The next 5 problems continue the analysis of the plastic hardness data begun in the first homework. 3. Plot the data using proc gplot. Include a smoot
   
• 
  Homework0

  Purdue STAT 512
  

  Statistics 512 Homework #0 Not to be handed in, but try to complete by Monday, August 30, 2010. 1. Find a computer that has SAS installed on it. You can use any ITaP computer lab with your career account. To install SAS on your home or lab computer, go to
   
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  stat512fall10prob5

  Purdue STAT 512
  

  Statistics 512: Problem Set Number 5 Due Tuesday, November 9, 2010 (Divisions: 2 EPE) Use the data from problem 8.24 on page 339 in the text. (CH08PR24.DAT) 1. Plot the data for the two populations on th
   
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  stat512fall10project

  Purdue STAT 512
  

  Statistics 512: Final Project Due Friday, December 10, 2010 Use the computer science data csdata.dat that we have been discussing in class. The variables are: id, a numerical identier for each student; GPA, the grade point average after three semesters; H
   
• 
  stat512prob1

  Purdue STAT 512
  

  Statistics 512: Problem Set Number. 1 Divisions 2 PTR: Due Wednesday, September 8, 2010 A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only those results that are n
   
• 
  stat512prob2

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 2 Due Friday, September 17th, 2010 (4:30pm) The next 5 problems continue the analysis of the plastic hardness data begun in the rst homework. 1. Plot the data using proc gplot. Include a smoothed function on the plot by usi
   
• 
  stat512prob3

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 3 Due Monday, October 4, 2010 (PTR 3) 1. Consider the following data set that describes the relationship between the rate of an enzymatic reaction (V ) and the substrate concen
   
• 
  stat512prob4

  Purdue STAT 512
  

  Statistics 512: Problem Set No. 4 Due Wednesday, October 20, 2010. (Div: PTR/EPE) Thursday, October 21, 2010. (Div: 2/3) 1. Based on the following small data set, construct the design matrix, X, its transpose X , and the matrices X X, (X X)1 , X Y, and b
   
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  stat512review2fall10

  Purdue STAT 512
  

  Statistics 512: Review Problems for Exam 2 and Final Exam (Fall 2010) 1. Using the matrices from least squares estimation, what are the entries of the vector X e? 2. For a model with 5 predictors and 40 observations, if R2 is 0.3 what is the test statisti
   
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  stat512summer10exam1

  Purdue STAT 512
  

  Statistics 512 Midterm Exam 1 Tuesday, July 6, 2010 NAME: Section (circle): 1 (9:50am) 2 (11:00am) Materials permitted: This exam is open-book and open-note. Anything on paper is allowed. Calculators are allowed. HOWEVER, computers, phones, or any devices
   
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  topic1

  Purdue STAT 512
  

  Statistics 512: Applied Linear Models Topic 1 Topic Overview This topic will cover Course Overview much should be review) Simple linear regression; method of least squares (LS) KNNL Ch
   
• 
  homework_3_solution

  Purdue STAT 512
  

  LINEAR REGRESSION MODELS W4315 HOMEWORK 3 ANSWERS February 20, 2010 Instructor: Frank Wood 1. (50 points) 1 Refer to Copier maintenance Problem 1.20. a. Estimate the change in the mean service time when the number of copiers serviced increases by one. Use
   
• 
  HW1

  Purdue STAT 512
  

  Stat 512-1 Due Friday, Sept 4th Homework #1 Dr. Levine A reminder Please do not hand in any unlabelled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution. In particular, questions must be
   
• 
  HW10

  Purdue STAT 512
  

  Stat 512 1 Homework 9 Dr. Levine Due Friday, Dec 12 The first group of three questions refers to the Hay Fever dataset that we used in the HW#9. 1. The table below gives the exact quantities of ingredients corresponding to the three levels (low, medium, a
   
• 
  HW10

  Purdue STAT 512
  

  Stat 512 1 Homework 9 Dr. Levine Due Friday, Dec 12 The first group of three questions refers to the Hay Fever dataset that we used in the HW#9. 1. The table below gives the exact quantities of ingredients corresponding to the three levels (low, medium, a
   
• 
  HW1sol

  Purdue STAT 512
  

  1. A regression analysis relating test scores (Y) to training hours (X) produced the following fitted equation: y 15 0.9 x . (a) What is the fitted value of the response variable corresponding to x = 6? y 15 0.9 6 15 5.4 20.4 (b) What is the residual co
   
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  HW2

  Purdue STAT 512
  

  Stat 512-1 Due Friday, Sept 18th Homework #2 Dr. Levine A reminder Please do not hand in any unlabelled or unedited SAS output. Include in your write-up only those results that are necessary to present a complete solution. In particular, questions must be
   
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  HW2sol

  Purdue STAT 512
  

  1. An investigative study collected 50 observations from the Wabash river at random locations near Lafayette. Each observation consisted of a measure of water pH (X) and fish count (Y). The researchers are interested in how the acidity of the water affect
   
• 
  HW3

  Purdue STAT 512
  

  Stat 512 Due Friday, Sep 25th Homework #3 Dr. Levine 1. KNNL Problem 2.26, p93. To change the axis on a plot, add an order statement to the axis definition. For example, to make the vertical axis go from -30 to 30 in increments of 10, do axis3 label=(angl
   
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  HW3sol

  Purdue STAT 512
  

  1. KNNL Problem 2.26. To change the axis on a plot, add an order statement to the axis definition. For example, to make the vertical axis go from -30 to 30 in increments of 10, do axis3 label=(angle=90 Residuals) order=(-30 to 30 by 10); Then use vaxis=ax
   
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  HW4

  Purdue STAT 512
  

  Stat 512 1 Due Friday, Oct 2nd Homework #3 Dr. Levine 1. Problem 3.3 in KN NL, parts a), c) and d) 2. Problem 3.9 in KN NL 3. Problem 3.10 in KNN L 4. Problem 3.15 in KNN L 5. Problem 3.16 in KNN L 6. Problem 3.19 in KNN L 7. Problem 3.20 in KNN L