Regression in R
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How to Find Coefficient of Determination (R-Squared) in R
The coefficient of determination (commonly denoted R2) is the proportion of the variance in the response variable that can be explained by the explanatory variables in...
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How to Perform a Box-Cox Transformation in R (With Examples)
A box-cox transformation is a commonly used method for transforming a non-normally distributed dataset into a more normally distributed one.
The basic idea behind this method...
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How to Calculate Residual Standard Error in R
Whenever we fit a linear regression model in R, the model takes on the following form:
Y = β0 + β1X + … + βiX...
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How to Create a Residual Plot in R
Residual plots are often used to assess whether or not the residuals in a regression analysis are normally distributed and whether or not they...
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How to Perform a Breusch-Pagan Test in R
A Breusch-Pagan Test is used to determine if heteroscedasticity is present in a regression analysis.
This tutorial explains how to perform a Breusch-Pagan Test in R.
Example: Breusch-Pagan...
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How to Perform a Durbin-Watson Test in R
One of the key assumptions in linear regression is that there is no correlation between the residuals, e.g. the residuals are independent.
One way to...
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How to Perform Cross Validation for Model Performance in R
In statistics, we often build models for two reasons:
To gain an understanding of the relationship between one or more predictor variables and a response variable.
To...
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