![]() ![]() ![]() The linear regression model assumes that there is a linear, or "straight line," relationship between the dependent variable and each predictor. This relationship is described in the following formula. The model is linear because increasing the value of the jth predictor by 1 unit increases the value of the dependent by bj units. Note that b0 is the intercept, the model-predicted value of the dependent variable when the value of every predictor is equal to 0. For the purpose of testing hypotheses about the values of model parameters, the linear regression model also assumes the following:
|
|
The Linear Regression Model |