1. A professor is interested in determining the impact of hours worked per day by students (variable X) on final quiz scores (Y). A random sample of ten students is taken with the following results on X and Y: X 0826 60+N ∞0. 2 4 7735571COOK 10 I a. Determine the simple regression equation (by hand) that best fits this data. b. Calculate and interpret the R-Square and the adjusted R-Square for this model. c. Using a 0.05 level of significance, test to see if this is a good or bad model using the correlation test. d. Using a 0.05 level of significance, test to see if this is a good or bad model using the t-test on slope. e. Using a 0.05 level of significance, test to see if this is a good or bad model using the F-test on slope. f. Looking over your full results, what can you conclude about the relationship between hours worked per day (X) and final quiz scores (Y)?

MATLAB: An Introduction with Applications
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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1. A professor is interested in determining the impact of hours worked per day by students
(variable X) on final quiz scores (Y). A random sample of ten students is taken with the
following results on X and Y
Y
10
2.
6.
6.
6.
10
4
2.
4.
Determine the simple regression equation (by hand) that best fits this data
b. Calculate and interpret the R-Square and the adjusted R-Square for this model.
C. Using a 0.05 level of sigmificance, test to see if this is a good or bad model using the
correlation test.
a.
d. Using a 0.05 level of significance, test to see if this is a good or bad model using the
t-test on slope.
e. Using a 0.05 level of significance, test to see if this is a good or bad model using the
F-test on slope.
f Looking over your full results, what can you conclude about the relationship between
hours worked per day (X) and final quiz scores (Y)?
으 으973으n735
Transcribed Image Text:1. A professor is interested in determining the impact of hours worked per day by students (variable X) on final quiz scores (Y). A random sample of ten students is taken with the following results on X and Y Y 10 2. 6. 6. 6. 10 4 2. 4. Determine the simple regression equation (by hand) that best fits this data b. Calculate and interpret the R-Square and the adjusted R-Square for this model. C. Using a 0.05 level of sigmificance, test to see if this is a good or bad model using the correlation test. a. d. Using a 0.05 level of significance, test to see if this is a good or bad model using the t-test on slope. e. Using a 0.05 level of significance, test to see if this is a good or bad model using the F-test on slope. f Looking over your full results, what can you conclude about the relationship between hours worked per day (X) and final quiz scores (Y)? 으 으973으n735
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