How to Extract p-values from multiple simple linear regression models

Sometimes you might fit many simple linear regression models and would like to extract p-values from each model. In this tutorial, we will learn two approaches to extract p-values from multiple simple linear regression models built in R. We will first use for loop to build and extract pvalue from multiple linear models and then… Continue reading How to Extract p-values from multiple simple linear regression models

How to extract residuals from a linear regression model

In this tutorial, we will learn how to extract residual values from a linear regression model in R. Residuals are values that is remaining after adjusting or subtracting effects of variable in the model. We will see two approaches to pull residuals from linear regression model result we get after using lm() function. First we… Continue reading How to extract residuals from a linear regression model

How to get p-value from linear regression model

In this tutorial, we will learn how to extract p-value from a linear regression fit object in R. We will use two approaches to pull out p-value and other statistics of interest from a linear regression model. First we will extract the p-value directly from summary of the linear regression fit object using coefficients argument.… Continue reading How to get p-value from linear regression model

Computing Correlation Between Multiple Variables in a dataframe

Compute correlations between multiple variables in a dataframe

corrr package part of tidymodels meta R packages can compute correlation between multiple variables and offers tools further dissect and visualize the correlation. In this tutorial, we will learn how to use correlate() function corrr package to compute correlation all numerical variables in a dataframe. First, we load the packages needed and look at the… Continue reading Computing Correlation Between Multiple Variables in a dataframe

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