The fitted intercept in a regression has little meaning if no data values near X = 0 have been observed.

Question

Quizplus · Accepted Answer

The intercept in a regression model represents the predicted value of the response variable when the predictor variable(s) have a value of zero. If no data values near X = 0 have been observed, then the intercept may not accurately represent the true predicted value at that point. Therefore, the fitted intercept in such cases may have little meaning.

The Fitted Intercept in a Regression Has Little Meaning If