Residual (Sur)Realism

A dataset that yields a model with surreal residuals.

Usage

residual_surrealism

Format

A data frame with 5,395 rows and 7 columns:

V1

Target variable of interest

V2

First predictor variable

V3

Second predictor variable

V4

Third predictor variable

V5

Fourth predictor variable

V6

Fiveth predictor variable

V7

Sixth predictor variable

Source

Leonard A Stefanski https://www.tandfonline.com/doi/abs/10.1198/000313007X190079

WebR

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Examples

# Load the data
data(residual_surrealism)

# Fit a model
model = lm(V1 ~ ., residual_surrealism)

# Graph the residuals vs. fitted values
plot(fitted(model),resid(model))

# Add a line at y = 0
abline(0, 0, col = "red")