Linear Regression Table Explained. For example it can be used to quantify the relative impacts of age gender and diet the predictor variables on height the outcome variable. The model summary table looks like below.
Linear regression is commonly used for predictive analysis and modeling. In this example regression ms 546 53308 2 273 2665. Examine the goodness of fit statistics in the model summary table.
The second table generated in a linear regression test in spss is model summary.
The regression mean squares is calculated by regression ss regression df. The column of estimates coefficients or parameter estimates from here on labeled coefficients provides the values for b0 b1 b2 b3 and b4 for this equation. Y 0 01x 2 48. The height coefficient in the regression equation is 106 5.
