Changes

According to Minitab Incorporated:

According to Minitab Incorporated:

{{Cquote|Use General Linear Model to determine whether the means of two or more groups differ. You can include [[random]] factors, covariates, or a mix of crossed and nested factors. You can also use stepwise [[regression]] to help determine the [[model]]. You can then use the model to predict values for new observations, identify the combination of predictor values that jointly [[optimize]] one or more fitted values, and create surface plots, contour plots, and factorial plots...

{{Cquote|Use General Linear Model to determine whether the means of two or more groups differ. You can include [[random]] factors, covariates, or a mix of crossed and nested factors. You can also use stepwise [[regression]] to help determine the [[model]]. You can then use the model to predict values for new observations, identify the combination of predictor values that jointly [[Optimization|optimize]] one or more fitted values, and create surface plots, contour plots, and factorial plots...

GLM is an [[ANOVA]] procedure in which the calculations are performed using a least squares regression approach to describe the statistical relationship between one or more predictors and a continuous response variable. Predictors can be factors and covariates.<ref>[https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/anova/supporting-topics/basics/what-is-a-general-linear-model/ What is a general linear model?]</ref>}}

GLM is an [[ANOVA]] procedure in which the calculations are performed using a least squares regression approach to describe the statistical relationship between one or more predictors and a continuous response variable. Predictors can be factors and covariates.<ref>[https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/anova/supporting-topics/basics/what-is-a-general-linear-model/ What is a general linear model?]</ref>}}