
| Term | Description | 
|---|---|
| MSE | mean square error | 
R2 is also known as the coefficient of determination.

| Term | Description | 
|---|---|
| yi | i th observed response value | 
|   | mean response | 
|   | i th fitted response | 

While the calculations for adjusted R2 can produce negative values, Minitab displays zero for these cases.
| Term | Description | 
|---|---|
|  | ith observed response value | 
|  | ith fitted response | 
|  | mean response | 
| n | number of observations | 
| p | number of terms in the model | 

While the calculations for R2(pred) can produce negative values, Minitab displays zero for these cases.
| Term | Description | 
|---|---|
| yi | i th observed response value | 
|   | mean response | 
| n | number of observations | 
| ei | i th residual | 
| hi | i th diagonal element of X(X'X)–1X' | 
| X | design matrix | 

| Term | Description | 
|---|---|
| n | number of observations | 
| ei | ith residual | 
| hi | ith diagonal element of X (X' X)-1X' |