In: Statistics and Probability
The following data was collected on the height (inches) and weight (pounds) of women swimmers.
Height | Weight |
68 | 132 |
64 | 108 |
62 | 102 |
65 | 115 |
66 | 128 |
Provide a regression analysis from the height and weight data.
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.9603 | |||||||
R Square | 0.9223 | |||||||
Adjusted R Square | 0.8963 | |||||||
Standard Error | 4.1231 | |||||||
Observations | 5 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 605 | 605 | 35.5882 | 0.0094 | |||
Residual | 3 | 51 | 17 | |||||
Total | 4 | 656 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | -240.50 | 59.9554 | -4.0113 | 0.0278 | -431.3048 | -49.6952 | -431.3048 | -49.6952 |
Height | 5.50 | 0.9220 | 5.9656 | 0.0094 | 2.5659 | 8.4341 | 2.5659 | 8.4341 |
If the height of a swimmer is 63 inches, the expected weight in
pounds will be?
Explain (in one word) why you can make the relationship of the 63 inches to weight as a prediction.
If the height of a swimmer is 70 inches, the expected weight in pounds will be?
Explain (in one word) why you can make the relationship of the 70 inches to weight as a prediction.