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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
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 coefficientis: r =
- The equation of regression line is: Score = *(Hours) +
- Coefficient of determination:
Test the significance of the correlation coefficient using = 0.05and the claim< 0.
- H0:>0
- Ha:<0
- = 0.05
- n=12
- df=
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