ols_plot_reg_line

Plot to demonstrate that the regression line always passes through mean of
the response and predictor variables.

Tools designed to make it easier for users, particularly beginner/intermediate R users
to build ordinary least squares regression models. Includes comprehensive regression output,
heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence,
model fit assessment and variable selection procedures.

Aravind Hebbali

olsrr

Tools for Building OLS Regression Models

ols_plot_reg_line function

<dl><dt>response</dt>
<dd>Response variable.</dd>
<dt>predictor</dt>
<dd>Predictor variable.</dd>
<dt>print_plot</dt>
<dd>logical; if <code>TRUE</code>, prints the plot else returns a plot object.</dd></dl>

Arguments

Simple linear regression line — ols_plot_reg_line

<dl>

<dt>response</dt>
<dd>Response variable.</dd>


<dt>predictor</dt>
<dd>Predictor variable.</dd>


<dt>print_plot</dt>
<dd>logical; if <code>TRUE</code>, prints the plot else returns a plot object.</dd>

</dl>

ols_plot_reg_line: Simple linear regression line

Description

Usage

Arguments

Examples