A human resources director believes that increased physical activity of the employee will results in fewer hours lost to illness. To test this hypothesis she randomly sampled 10 individuals from her company. Each employee was asked 2 simple questions: 1) How many hours per week do exercise? ; 2) How many work hours per year do you lose due to illness? The following results were obtained:
Number of hours/week exercise |
Number of work hours/year lost to illness |
3 |
76 |
3 |
71 |
4 |
70 |
5 |
74 |
6 |
63 |
7 |
51 |
7 |
75 |
8 |
67 |
8 |
40 |
9 |
63 |
1. What is the power of the study? Answer
2. Write out the regression equation for the model: Y = Answer+Answer(X). If the individual spends 10 per week exercising what would be the predicted number of works hours lost to illness? Answer
3. If the predictor value decreases by 1.5 standard deviations, how much would your outcome variable change (raw score units)? Answer
4. What is the standard error of the estimate? Answer
5. What is the standard error for testing significance of the slope? Answer
6. Figure the confidence interval (95%). Lower Answer, Upper Answer
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