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Fit Analyses |

**Source**- indicates the source of the variation.
Sources include
**Model**for the fitted regression and**Error**for the residual error.**C Total**is the sum of the**Model**and**Error**components, and it is the total variation after correcting for the mean. When the model does not have an intercept term, the uncorrected total variation (**U Total**) is displayed. **DF**- is the degrees of freedom associated with each source of variation.
**Sum of Squares**- is the sum of squares for each source of variation.
**Mean Square**- is the sum of squares divided by its
associated degrees of freedom.

**F Stat**- is the
*F*statistic for testing the null hypothesis that all parameters are 0 except for the intercept. This is formed by dividing the mean square for model by the mean square for error. **Pr > F**- is the probability of obtaining a greater
*F*statistic than that observed if the null hypothesis is true. This quantity is also called a*p*-value. A small*p*-value is evidence for rejecting the null hypothesis.

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