An instructor wants to show the students that there is a linear correlation between the number of hours they spent watching TV during a certain weekend and their scores on a test taken the following Monday. The number of television viewing hours and the test scores for 12 randomly selected students are shown in the table below. Hours (x) 0 1 2 3 3 5 5 5 6 7 7 10 Score (y) 96 85 82 74 95 68 76 84 58 65 75 50 Correlation coefficient is: r = The equation of regression line is: Score = *(Hours) + Coefficient of determination: of the variability in the is explained by the variability in the .
An instructor wants to show the students that there is a linear correlation between the number of hours they spent watching TV during a certain weekend and their scores on a test taken the following Monday. The number of television viewing hours and the test scores for 12 randomly selected students are shown in the table below. Hours (x) 0 1 2 3 3 5 5 5 6 7 7 10 Score (y) 96 85 82 74 95 68 76 84 58 65 75 50 Correlation coefficient is: r = The equation of regression line is: Score = *(Hours) + Coefficient of determination: of the variability in the is explained by the variability in the .
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
An instructor wants to show the students that there is a
Hours (x) |
0 |
1 |
2 |
3 |
3 |
5 |
5 |
5 |
6 |
7 |
7 |
10 |
Score (y) |
96 |
85 |
82 |
74 |
95 |
68 |
76 |
84 |
58 |
65 |
75 |
50 |
Correlation coefficient is: r =- The equation of regression line is: Score = *(Hours) +
- Coefficient of determination: of the variability in the is explained by the variability in the .
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