and uses forward selection to incrementally addx4andx1. Each predictor variable in the final model is significant given the other one is in the model. The algorithm stops when adding none of the other predictor variables significantly improves in the model. For details on stepwise regression, see...
What is the meaning of the standard deviation? And within 2 standard deviations, what percentage fall in? Explain how to calculate the variance and standard deviation of a given set of data. Describe what happens to the width of a confidence interval estimate when...