tut13

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✓ Published0🌍 Public

Last edited Feb 13, 2020

Created on Feb 13, 2020

This chart displays the relative importance of predictor variables in a linear model predicting ozone readings, using a horizontal dot plot with labels. The code loads the `relaimpo` package, fits a linear model with `lm(ozone_reading ~ ., data = Ozone)`, and calculates scaled importance metrics via `calc.relimp(..., type="lmg")`. The result is sorted and rendered with `ggplot2`, using `geom_point`, `geom_text` with a label nudge, `coord_flip`, and `theme_minimal` to show each variable’s contribution on a 0–0.3 scale.

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