Table 2. Full multiple regression analysis model.
| Variable |
Beta coefficient |
t-value |
Probability |
| Gender |
-1.79 |
-.84 |
.41 |
| Height |
.10 |
.80 |
.43 |
| Weight |
-3.67 |
-.34 |
.73 |
| Heart Rate |
-3.64 |
-.87 |
.39 |
| Body Fat |
-.77 |
-3.48 |
.00 |
| df = (1, 26) |
|
|
|
| SEE = 3.31 |
|
|
|
| Intercept = 44.96 |
|
|
|
| R2 = .79 |
|
|
|
| *Adjusted R2 = .75 |
|
|
|
* The adjusted R takes into account how many variables are included in the estimation and slightly lowers the estimate of explained variance.
