Follow these directions EXACTLY
Put JUST your answers, written in PEN on a separate sheet of paper with your name. You will
have to turn it in at THE BEGINNING of class on Monday. Work together to get the right
answers!
1. What does BLUE mean?
a. Best mea
Homework Due 6
As startup software company with offices/stores in three different regions is struggling to
reduce monthly losses (measured in 1000s of dollars). They think that monthly sales
volume (measured in 100s of dollars), the number of new products
1. Check for mismeasured X variables. Label this page PAGE 1 Write the question above your answer. A. What are you doing in Minitab to check for mismeasured Xs and how are you using the output .what are you looking at? With a highlighter pen, highlight wh
Multiple Choice Questions
1.
One company is doing research on whether magazine layout influences magazine sales. They feel that the layout may
affect consumers propensity to purchase the magazine. They took a simple random sample of magazine sales in
diff
One-way ANOVA
This statistical technique tests whether a particular characteristic (treatment) affects the MEAN or AVERAGE LEVEL of a
continuous outcome measure. For example, does region affect average sales level? The treatment (characteristic) is region
Bring a Cheat sheet for the exam (ONE SIDE of one piece of paper is allowed, not legal
size, just one side of a 8.5 X 11). I will take away cheat sheets that do not comply with
the above rules.
HINT: when interpreting coefficients answer depends upon whet
Term:
Course Number:
Course Title:
Instructor:
Office:
Office Hours:
E-Mail:
Spring 2015
ECO 3411
Business and Economic Statistics
Prof. Harriet Stranahan
42/3115
Mon., Wed. 2:45-4:30 and by Appt.
[email protected]
Prerequisites
STA 2023 Introductory Stati
1
Notes on Multiple Regression
Notes on Multiple Regression
I. Things That Change a Bit for Multiple Versus Bivariate Regression
A.ANOVA test
B. Adjusted R2
II. Dummy Variables
The interpretations, Ho, HA reflect the DICHOTOMOUS Change one category vs omi
Term:
Course Number:
Course Title:
Instructor:
Office:
Office Hours:
E-Mail:
Summer B 2012
ECO 3411
Business and Economic Statistics
Prof. Harriet Stranahan
42/3115
M-TH 4:10-4:40 and by Appt.
[email protected]
Prerequisites
STA 2023 Introductory Statistic
MISMEASURED XS
A. What did you do and what did you find? Highlight your output below A.B. showing what
you looked at and what you did.
a. I checked for mismeasured X and Y variables by running the descriptive statistics
for each variable. I then ran the r
Notes on Index Numbers:
Index Numbers
Index numbers are a very common method of describing economic activity. We hear for instance
that the CPI increased by .3% in August and inflation rose .1%. There are many other
governmental and private sector indexes
Eco3411
PowerPointsforExam2
Whatwillwecover?
I. Check the Assumptions of the Regression Model
B Check to see that X and Y are not mismeasured
C. Check the regression for Multicollinearity
D. Check the regression for Curvilinearity
E. Check for regression
University of North Florida
Homework 4
Extensions of The Linear Model Binary Explanatory Variables
1. In this exercise we will try to estimate a Cobb-Douglas production
function:
Yt AK t1 L 2 e et
t
where et is a random term.
In the data set LINGEN2.XLS w
Correlation Formula:
n
r
z
i 1
z
1i 2 i
n 1
Multiple choice or True/False questions:
1. Correlation relates the relative position of a score in one distribution to
a. the relative position of a score in another distribution
b. the mean of the z-scores fro
Practice Problem #2
ECO 3411
How much time do executives spend each day reading and sending e-mails? A survey was conducted
and the responses (in minutes) were recorded. Can we infer from these data (below) that the mean
amount of time spent by all execut
Month
Jan
Feb
March
April
May
June
July
August
September
October
November
December
Jan
Feb
March
April
May
June
July
Income
213
327
414
370
434
415
481
545
438
431
337
499
521
545
676
520
594
589
524
Food
48
72
60
81
107
106
87
49
126
88
113
78
54
83
81
9
Emily Beiswenger
N00896258
January 28, 2016
ECO 3411
6.
What is the purpose of the one-way ANOVA?
The purpose of a one-way anova is to determine if there are any significant differences between
the means of two or more independent groups.
7.
A one-way ANO
Emily Beiswenger
ECO 3411
February 9, 2016
Determine the least squares regression line for the following data values, then find the estimated values of y
for x = 6 and x = 9.
11.
x:
2
3
8
10
y:
20
12
7
3
25
20
f(x) = - 1.78x + 20.72
R = 0.88
15
y
Linear (
17.
The owner of a large chain of health spas has selected eight of her smaller clubs for a test in which she
varies the size of the newspaper ad and the amount of the initiation fee discount to see how this might affect
the number of prospective members
23.
A management consulting firm consists of three partners, whose number of clients and average fee per
client were as shown below for 1988 through 1990:
1988
1989
1990
a.
b.
24.
C
3
4
2
Average Billing
per Client
B
$15,000
$20,000
$10,000
A
$2,500
$1,50
YEAR
TIME SERIES VALUES
1996.1
1996.2
1996.3
1996.4
1997.1
1997.2
1997.3
1997.4
1998.1
1998.2
1998.3
1998.4
1999.1
1999.2
1999.3
1999.4
2000.1
2000.2
2000.3
2000.4
.3 smoothing constant
2 is the weight for the center value
3 Center Moving Average
4 Center
Multicollinearity Homework
1.
Download the KEYEQUIP data set from Blackboard. Run the regression of PROF_SAL on all of
the other variables. Interpret the coefficients significant at the 0.05 level or better (see the
variable definition file also on Blackb
Jillian Davis
N00970037
11.
Determine the least squares regression line for the following data values, then find the estimated values of y
for x = 6 and x = 9.
x:
2
3
8
10
y:
20
12
7
3
Least Squares Regression Line: Y = 20.7-1.78 X
For x=6, y= -10.02
For
Autocorrelation Homework
1. Access the KEYEQUIP data set in EXCEL and regress PROF_SAL on VANS, FRIDGES, and
TRAILERS.
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.906
R Square
0.821
Adjusted R Square
0.806
Standard Error
0.527
Observations
2.
40
ANO
11.
12.
Determine the least squares regression line for the following data values, then find the estimated values of y
for x = 6 and x = 9.
x:
2
3
8
10
y:
20
12
7
3
The following data represent x = boat sales and y = boat trailer sales from 1991 through 1
Jillian Davis
N00970037
2/2/16
9.
For a two-way ANOVA in which factor A operates on 3 levels and factor B operates on 4
levels, there are 2 replications within each cell. Given the following sum of squares terms, construct
the appropriate table of ANOVA s
Autocorrelation Homework
1. Access the KEYEQUIP data set in EXCEL and regress PROF_SAL on VANS, FRIDGES, and
TRAILERS.
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.906
R Square
0.821
Adjusted R Square
0.806
Standard Error
0.527
Observations
40
ANOVA
14.
Emily Beiswenger
ECO 3411
February 11, 2016
The ratings below are based on collision claim experience and theft frequency for 12 makes of small, twodoor cars. Higher numbers reflect higher claims and more frequent thefts, respectively.
Collision:
Thef