3. 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: 10 8 2 6. 6. 10 4 5 2 4 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. 으0973으s735

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
Please show all work so I can understand the problem
3. 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:
10
8
2
6.
7
6.
3
10
4
7
8
3
4
5
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)?
Transcribed Image Text:3. 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: 10 8 2 6. 7 6. 3 10 4 7 8 3 4 5 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)?
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 2 images

Blurred answer
Knowledge Booster
Research Ethics
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman