(The principle of linear regression and its detailed use and cases are discussed in detail, so that students can systematically know the use method and process of linear regression. Session 1: Overview Session 2: Understanding Principles with Questions Session 3: Relationship between Samples and the Whole Session 4: Linear Regression Function Expression and Solution Method Session 5: goodness of fit test of hypothesis test Session 6: normality test of hypothesis test residual error Session 7: homogeneity test of hypothesis test residual variance Session 8: independence test of hypothesis test residual error Session 9: significance and multicollinearity test of all regression in multivariate linear regression Session 10: multicollinearity test Regression (including constant) tool operation class hour 11: multivariate linear regression (including constant) output results analysis class hour 12: multivariate linear regression (without constant) operation and output results analysis class hour 13: unary linear regression real case analysis class hour 14: summary and consideration
Linear Regression Detail.txt)
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