Homework Answers
| SUMMARY OUTPUT | ||||||
| Regression Statistics | ||||||
| Multiple R | 0.973527289 | |||||
| R Square | 0.947755382 | |||||
| Adjusted R Square | 0.939047946 | |||||
| Standard Error | 1.555499551 | |||||
| Observations | 8 | |||||
| ANOVA | ||||||
| df | SS | MS | F | Significance F | ||
| Regression | 1 | 263.3575 | 263.3575 | 108.8444 | 4.55E-05 | |
| Residual | 6 | 14.51747 | 2.419579 | |||
| Total | 7 | 277.875 | ||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
| Intercept | 0.797 | 1.704155 | 0.467706 | 0.6565 | -3.37287 | 4.966961 |
| Q1 | 0.841 | 0.080649 | 10.43285 | 4.55E-05 | 0.644057 | 1.038739 |
Answer Q2 = 15
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use
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use
second picture please
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y ). The results of the regression were: y=ax+b a=-1.326 b=30.621 p2=0.6561 r=-0.81 Use this to predict the number of sit ups a person who watches 14 hours of TV can do, and please round your answer to a whole number. The following is data for the...
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