To predict a bear’s weight, data was taken from54 anesthetized bears on theirage, gender (M=1, F=2), head width, necksize,  overall length, and chest size.
ANOVA | | |
| df | SS |
Regression | 6 | 741937.3181 |
Residual | 47 | 44346.0152 |
Total | 53 | 786283.3333 |
| Coefficients | Standard Error |
Intercept | -209.575 | 39.453 |
AGE | Â Â Â Â 0.526 | 0.225 |
GENDER | -12.186 | 11.503 |
HEADWTH | Â Â -0.413 | 5.041 |
NECK | Â Â Â 3.811 | 2.607 |
LENGTH | Â Â -0.463 | 0.914 |
CHEST | Â Â Â Â 9.459 | 1.443 |
Use above data to construct a 95% confidence intervalfor the variable ' AGE' and answer following:
Name the critical value needed to compute theerror
Compute the Margin of Error (3 decimalplaces)Â Â
Name the lower limit of the confidence interval (3decimal places)
Name the upper limit of the confidence interval (3decimal places)
What percent of variation(1 decimal place) in a bear'sweight is NOT explained by the combination of variables in theregression equation?
