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<\/div>\n<\/div>\nGroup of statistical models that models some function of the expected value of the dependent variable as a linear combination of the independent variables. In its simplest form, a linear model specifies the linear relationship between a dependent variable Y, and a set of predictor variables, the X’s, giving:<\/p>\n<\/p>\n
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where b0<\/span> is the regression coefficient for the intercept and the bi<\/span> values the regression coefficients for variables 1 through k<\/span> computed from the data. <\/p>\n For most statistical analyses, estimates of the linear relationships between variables are adequate to describe the observed data, and for making reasonable predictions for new observations.<\/p>\n See Analysis of variance (ANOVA)<\/a>, Design matrix<\/a><\/p>\n <\/p>\n <\/body><\/html><\/p>\n","protected":false},"excerpt":{"rendered":" Group of statistical models that models some function of the expected value of the dependent variable as a linear combination of the independent variables. In its simplest form, a linear model specifies the linear relationship between a dependent variable Y, and a set of predictor variables, the X’s, giving: where b0 is the regression coefficient … <\/p>\n