Regression in R
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How to Perform OLS Regression in R (With Example)
Ordinary least squares (OLS) regression is a method that allows us to find a line that best describes the relationship between one or more...
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How to Perform LOESS Regression in R (With Example)
LOESS regression, sometimes called local regression, is a method that uses local fitting to fit a regression model to a dataset.
The following step-by-step example...
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How to Calculate R-Squared for glm in R
Often when we fit a linear regression model, we use R-squared as a way to assess how well a model fits the data.
R-squared represents...
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How to Plot lm() Results in R
You can use the following methods to plot the results of the lm() function in R:
Method 1: Plot lm() Results in Base R
#create scatterplot
plot(y...
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How to Interpret Pr(>|z|) in Logistic Regression Output in R
Whenever you perform logistic regression in R, the output of your regression model will be displayed in the following format:
Coefficients:
...
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How to Create Partial Residual Plots in R
Multiple linear regression is a statistical method we can use to understand the relationship between multiple predictor variables and a response variable.
However, one of...
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How to Perform Piecewise Regression in R (Step-by-Step)
Piecewise regression is a regression method we often use when there are clear “breakpoints” in a dataset.
The following step-by-step example shows how to perform...
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