This problem is called collinearity or multicollinearity. It is a good idea to find out which variables are nearly collinear with which other variables. The approach in PROC REG follows that of ...

Enhance your sales predictions using Excel's regression analysis tools and improve decision-making with data-driven insights.

Using three different indicators of the same type—momentum, for example—results in the multiple counting of the same information, a statistical term referred to as multicollinearity.

Predictor variables were first checked for multicollinearity, and the model was tested for overall statistical significance using the Omnibus Test of Model Coefficients. Alpha was set to 0.05 for all ...

You'll receive the same quality instruction as do students in MTU's on-site classes. Covers simple, multiple, and polynomial regression; estimation, testing, and prediction; weighted least squares, ...