linear_regress

This function performs a linear regression and returns a summary including:<ul>
<li>Adjusted R-squared</li>
<li>Overall F-test p-value</li>
<li>Table with parameter estimates, confidence intervals (default 99%), p-values, and significance stars (*, **, ***)</li>
</ul>

Provides a collection of intuitive and user-friendly functions
for computing confidence intervals for common statistical tasks, including
means, differences in means, proportions, and odds ratios. The package also
includes tools for linear regression analysis and several real-world datasets
intended for teaching and applied statistical inference.

Gwenaël Piaser

IPAG

Tools for IPAG Courses

linear_regress function

<dl><dt>formula</dt>
<dd>A formula like Y ~ X1 + X2</dd>
<dt>data</dt>
<dd>A data frame</dd>
<dt>level</dt>
<dd>Confidence level (default 0.99)</dd></dl>

Arguments

Linear regression summary — linear_regress

<dl>

<dt>formula</dt>
<dd>A formula like Y ~ X1 + X2</dd>


<dt>data</dt>
<dd>A data frame</dd>


<dt>level</dt>
<dd>Confidence level (default 0.99)</dd>

</dl>

linear_regress: Linear regression summary

Description

Usage

Value

Arguments

Examples