Linear Regression
This lesson is called Linear Regression, part of the Inferential Statistics with R course. This lesson is called Linear Regression, part of the Inferential Statistics with R course.
Transcript
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Your Turn
Perform a linear regression examining how iq predicts act_reading. Ask for standardized coefficients before calling for the summary of results. Is IQ a significant predictor of ACT reading scores? If so, what is the standardized coefficient?
Learn More
Read more about the lm() function in the stats package. If you’d like to learn more, check out this tutorial in YaRrr! The Pirate’s Guide to R by Nathaniel D. Phillips.
Although not covered in these videos, it should be noted that all previously covered statistics up to this point are essentially linear models. This blog post by Dr. Athanasia Monika Mowinckel nicely illustrates how we could have done all the statistics using the lm() function instead.
Have any questions? Put them below and we will help you out!
Course Content
21 Lessons
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Amalie Baisgaard • June 20, 2024
I cant seem to get the code to work with:
college |> lm(act_reading ~ iq, data = .) ....
I get the following message: Error in eval(mf, parent.frame()) : object '.' not found.
However, I can get it to work if I just assign the data as data = college
lm(act_reading ~ iq, data = college)
Can you explain what I am missing?
David Keyes Founder • June 20, 2024
Yes, you can't use the
.with the native pipe (|>). However, if you use the tidyverse pipe, it should work:Let me know if that solves the issue!