Introduction - If you have any usage issues, please Google them yourself
! Stepwise regression analysis procedure:! M: input variables, M = N+ 1, in which N is the number of independent variables M, including the number of the dependent variable! K: input variables, observation points ! F1: when to introduce a significant factor of the F-distribution value ! F2: remove significant factor when the F-distribution value ! XX: storage self-variables and the dependent variable on average ! B: regression coefficient storage ! V: store partial regression sum of squares and residual sum of squares Q ! S: storage of the standard deviation of regression coefficients and the estimated standard deviation ! C: storage of multiple correlation coefficient ! F: storing F-test value