ols_leverage

An object of class <code>lm</code>.

model

The leverage of an observation is based on how much the observation's value
on the predictor variable differs from the mean of the predictor variable.
The greater an observation's leverage, the more potential it has to be an
influential observation.

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_leverage function

<dl><dt>model</dt>
<dd>An object of class <code>lm</code>.</dd></dl>

Arguments

Leverage — ols_leverage

<dl>

<dt>model</dt>
<dd>An object of class <code>lm</code>.</dd>

</dl>

ols_leverage: Leverage

Description

Usage

Value

Arguments

References

See Also

Examples