The primary result of a regression analysis is a set of estimates of the regression coefficients α, β 1,..., β k. These estimates are made by finding values for the coefficients that make the average ...

Note that the signs of the autoregressive parameters shown in this equation for are the reverse of the estimates shown in the AUTOREG procedure output. Figure 8.4 also shows the estimates of the ...

A variance inflation factor (VIF) provides a measure of multicollinearity among the independent variables in a multiple regression model. Detecting multicollinearity is important because while ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.