Difference between revisions of "General linear model"

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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...
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{{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>}}

Revision as of 07:51, February 9, 2019

According to Minitab Incorporated:

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...

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.[1]

  1. What is a general linear model?