This regression is an example of a Multiple Linear Regression because it analyzes the relationship between a single dependent variable (HeatFlux) and multiple independent variables (%Cu and Thickness). The number of residuals in the regression analysis is 26, as indicated by the degrees of freedom (DF) for the residual error section, which is calculated as the total number of observations minus the number of predictors (including the intercept) used in the model.