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Multiple linear regression analysis summary.
| Change of statistics |
|||||||||
|---|---|---|---|---|---|---|---|---|---|
| R | R square | Adjusted R square | Std error of estimate | R square change | F change | dF1 | dF2 | P value | |
| 1 | 0.385 | 0.148 | 0.033 | 1.9777 | 0.148 | 1.285 | 37 | 270 | 0.269 |
a. Predictors: (constant), change in weight, diet and physical activity.
b. Dependent variable: Hba1c after lock down.
c. R is correlation coefficient.
d. R-square is the coefficient of determination.
e. dF is degree of freedom.
