EBK STATISTICS FOR THE BEHAVIORAL SCIEN
3rd Edition
ISBN: 9781506386249
Author: PRIVITERA
Publisher: VST
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Chapter 16.6, Problem 4.3LC
To determine
Complete the F table.
Determine whether the decision is to retain or reject the null hypothesis
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15
Children in grade six take two exams
each: one on math and one on vocabulary. For each
exam, larger scores are better.
One child, Eric, scores 40 on the math test and 60 on
the vocabulary test.
Erics cored 5points below the mean on the
math exam.
Eric scored 10 points above the mean on the
vocabulary exam.
Diane obtains the regression line for using the
math score to predict the vocabulary score.
According to her line, Eric scored 10 points lower
than predicted.
Use the above information to obtain Diane's
regression line.
The following table shows the starting salary and profile of a sample of 10 employees in a certain call center agency. Run a multiple regression analysis with starting salary as the dependent variable (pesos) and GPA, years of experience and civil service ratings as the independent variables. Use .05 level of significance. Copy-paste the data and run the analysis using MS Excel.
starting salary GPA Years of experience Civil Service Ratings
15000 80.1 1 79.5
15000 81.2 1 78.0
15500 81.3 2 79.0
16000 82.4 3 80.0
16200 83.4 3 85.0
17500 87.9 4 89.9
18000 90.3 5 89.1
16300 84.2 3 84.1
17000 87.0 4 89.0
17900 88.1 5 89.2
What is the computed R square of the resulting multiple linear regression and its interpretation?
The agronomist believed that the amount of rainfall as well as the amount of fertilizer used would affect the crop yield. She did the experiment in the following way. Thirty greenhouses were rented. In each, the amount of fertilizer and the amount of water were varied. At the end of the growing season, the amount of corn was recorded. Use ?=0.05
a) Determine the sample regression line and interpret the coefficients
b) Do these data allow us to infer that there is a linear relationship between the amount of fertilizer and the crop yield?
c) Do these data allow us to infer that there is a linear relationship between the amount of water and the crop yield?
d) What can you say about the fit of the multiple regression model?
e) Is it reasonable to believe that the error variable is normally distributed with constant variance (Support your answer)?
PLEASE ONLY USE EXCEL AND SHOW ALL EXCEL COMMANDS!
Yield
Fetilizer
Water
201
100
1000
325
200
1000
124
300
1000
129
400
1000
344
500…
Chapter 16 Solutions
EBK STATISTICS FOR THE BEHAVIORAL SCIEN
Ch. 16.2 - Prob. 1.1LCCh. 16.2 - Prob. 1.2LCCh. 16.2 - Prob. 1.3LCCh. 16.4 - Prob. 2.1LCCh. 16.4 - Prob. 2.2LCCh. 16.4 - Prob. 2.3LCCh. 16.5 - Prob. 3.1LCCh. 16.5 - Prob. 3.2LCCh. 16.6 - Prob. 4.1LCCh. 16.6 - Prob. 4.2LC
Ch. 16.6 - Prob. 4.3LCCh. 16.8 - Prob. 5.1LCCh. 16.8 - Prob. 5.2LCCh. 16.8 - Prob. 5.3LCCh. 16.9 - Prob. 6.1LCCh. 16.9 - Prob. 6.2LCCh. 16.9 - Prob. 6.3LCCh. 16.13 - Prob. 7.1LCCh. 16.13 - Prob. 7.2LCCh. 16.13 - Prob. 7.3LCCh. 16 - Prob. 1FPCh. 16 - Prob. 2FPCh. 16 - Prob. 3FPCh. 16 - Prob. 4FPCh. 16 - Prob. 5FPCh. 16 - Prob. 6FPCh. 16 - Prob. 7FPCh. 16 - Prob. 8FPCh. 16 - Prob. 9FPCh. 16 - Prob. 10FPCh. 16 - Prob. 11FPCh. 16 - Prob. 12FPCh. 16 - Prob. 13CAPCh. 16 - Prob. 14CAPCh. 16 - Prob. 15CAPCh. 16 - Prob. 16CAPCh. 16 - Prob. 17CAPCh. 16 - Prob. 18CAPCh. 16 - Prob. 19CAPCh. 16 - Prob. 20CAPCh. 16 - Prob. 21CAPCh. 16 - Prob. 22CAPCh. 16 - Prob. 23CAPCh. 16 - Prob. 24CAPCh. 16 - Prob. 25CAPCh. 16 - Prob. 26CAPCh. 16 - Prob. 27CAPCh. 16 - Prob. 28CAPCh. 16 - Prob. 29CAPCh. 16 - Prob. 30PRCh. 16 - Prob. 31PRCh. 16 - Prob. 32PRCh. 16 - Prob. 33PRCh. 16 - Prob. 34PR
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