EXAMPLE EXAM QUESTIONS ON SIMPLE LINEAR REGRESSION
Questions 1-7 refer to the following situation: Stock Prices, Y, are assumed to be affected by the annual rate
of dividend of stock, X. A simple linear regression analysis was performed on 20 observations
While it is far easier to create a new variable in Excel and then import the data set with the old
and new variables into SAS, it is also possible to create in SAS new variables which are
functions of existing ones.
!. After importing the data from Excel,
Calculating the Sample Mean, Sample Standard Deviation, Sample
Standard Error and Confidence Interval for the Population Mean
1. After importing your data, click on Describe and then click Summary Statistics
2. When the new Pop-up Menu occurs, click on th
Running a One-Way Analysis of Variance in SAS
1. Import data. (Be sure that it is formatted correctly with each observation being a row)
2.Click on Analyze, ANOVA, and then One-Way ANOVA
3. Click on the qualitative variable (the Factor), click the right-a
Chi-Square Test of a Contingency Table Using SAS
1. Import the data containing the two qualitative variables into SAS. Click on the Describe menu and
choose Table Analysis:
2. In the menu on the left, click on Data. Next after clicking on your first quali
Simple Linear Regression Using SAS.
1. Import the data into SAS. The data set I am using is the percent of people in a state that have a high school
degree, the percent with a Bachelor's, the percent with an advanced degree and the percent of the populati
SAS - Graphing the Data, Outliers and Influential Points
1. Open the file https:/wweb.uta.edu/faculty/eakin/busa5325/cardata.xls and upload the file
data into SAS.
2. It is always a good idea to plot the data before doing any other analysis. To obtain a
s
SAS - Multicollinearity and All-Possible Regressions Model Building
1. Import the cardata set as we did not outliers and influential observations.
2. Start the regression procedure using MPG as Y and the other four as the Xs. On the
Statistics menu item c
Group Contract: Specify the responsibilities of each group member. At the bottom indicate
when the group will meet. After the assignment has been submitted, each member will grade all
other members on how well they met their responsibilities. If a student
Group Peer Evaluation Form
Grade yourself and your other two group members using the following values
1 Needs to Change
2 Some Improvement Needed
3 Average
4 Good
5 Very Good
In Each Column Below Print the Last Name of the Student
NAME of Student
Dimensio
Exam 6 - A
1. What is a disadvantage of time-series smoothing techniques?
A. No t-tests are performed to judge statistical significance.
B. They do not measure the trend.
C. They are for one time period only.
D. Maximum likelihood estimation produces bias
QUESTIONS 1-8 DEAL WITH THE FOLLOWING SITUATION: Stock Prices, Y, are assumed to be
affected by the annual dividend rate, X1, and annual return on equity, X2. A first order regression was fit to the data
and the following analysis resulted.
Sum of
Mean
So
Inferences about the Difference in Two Population Means
Independent Samples
Paired (or Related) Samples
When you finish these notes, for each procedure, you should know:
a. When to use each
b. their requirements
c. How to determine if the requirements
One-Way Analysis of Variance (One-Way ANOVA) Notes
Experiments versus Studies
Types of Experiments
Assumptions & Assumption Checks
Types of Analysis
NCSS
When finished with the One-Way Anova notes, you should be able to
o Define the ANOVA terms
o Explain
Contingency Table Analysis
When finished with these notes, you should be able to
Define the terms
Explain why the test is conducted as it is
Test a hypothesis of equal proportions and a test of independence
Determine when it should be used
Explain th
Simple Linear Regression Notes
Relationships
Estimating the Simple Linear Function
Measures of Variation
Assumptions
Assumption Checks
Slope
Estimate Averages
Predict Individual Values
NCSS
What you should be able to do when you finish the notes
o Discuss
Multiple Linear Regression Notes Introduction
Relationships
Estimating Multiple Linear Functions
Sources of Variability
Assumptions
Assumption Checks
Testing for the effect of all the variables
Inferences about each coefficient
Testing the effect of some
Modeling Qualitative Variables (Dummy Variables) with Regression
I. Modeling values as base and differences
On July 19th, 2011 Dell computers offered a base Inspirion 600 for $299.99. A buyer is allowed
to customize this computer. One of the choices was t
Multiple Regression and Model Building
The Quadratic Regression Model
Using Transformations in Regression Models
Bootstrapping
Influence Analysis
Multicollinearity
Model Building
1. Quadratic Regression Model
1.1 Use
The change in the dependent value of
Time Series Analysis
1. Classical Decomposition additive or multiplicative effects
Trend long run
Seasonal periodic business patterns (months, weeks, days)
Cyclical business conditions (recessions, inflations)
Error randomness
Use in Bureau of Labor S
Randomized Block and Two-Factor Notes
1. Randomized block: Read the material at
http:/wps.prenhall.com/wps/media/objects/9431/9657451/Ch_11/levine-smume6_topic_1103.pdf
1.1 Experimental situation:
Two factors one of the factors group observations (block).
BUSA 3322 Final, Spring 2007 - Version Green, Printed Name_
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Review Statistics I
Topics
Building Blocks of my Statistics 1 course
1. Definitions
2. Data
What types of data are available?
How can data be collected?
3. Graphs
How can data be graphed?
How does the proportion of data in a range relate to probability?
4