General linear model - Revision history

Conservative at 07:53, February 9, 2019

2019-02-09T07:53:22Z

Conservative at 07:52, February 9, 2019

2019-02-09T07:52:27Z

Conservative at 07:51, February 9, 2019

2019-02-09T07:51:26Z

Conservative at 07:50, February 9, 2019

2019-02-09T07:50:33Z

Conservative: Created page with "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]..."

2019-02-09T07:48:47Z

Created page with "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]..."

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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...

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>}}

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	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>}}
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		+	== See also ==
		+
		+	*[[Generalized linear model]]
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	==References==		==References==

← Older revision		Revision as of 07:52, February 9, 2019
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	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>}}
		+	==References==
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		+	<references/>
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		+	[[Category: Statistics]]

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 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>}}