Inference with and without outlier (t-test)

Not only can one point change the estimated regression line, but it can also change the inferential analysis.

The datasets with and without the outlier are provided as hypdata_outlier and hypdata_no_outlier respectively.

This exercise is part of the course

Inference for Linear Regression in R

Run a linear regression of response vs. explanatory on hypdata_outlier, and extract the coefficient-level information.
Do the same for hypdata_no_outlier.
Look at the output. How do the coefficients and p-values differ?

Have a go at this exercise by completing this sample code.

# Model response vs. explanatory on hypdata_outlier and tidy it
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# Do the same on hypdata_no_outlier
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