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I am using the gpa1 dataset in R and am trying to filter out all instances where a student has worked less than or equal to 19 hours and does not volunteer or participate in any clubs. I can run the filter and save the data fine, and get the results I want (job19=1, clubs=0, and voluntr=0, but when I try to run a regression based on the new dataset the job19 values just come up as "NA"

This is the code that I used:

PTjob19 <- filter(gpa1, job19 == 1, voluntr == 0, clubs == 0)

View(PTjob19)

olsreg9 <- lm(colGPA~job19 + age + male + hsGPA + ACT + siblings + skipped + fathcoll + mothcoll, data=PTjob19)

I expected that job19 would have some kind of value be it negative or positive, but the values were just listed as "NA." Cam someone please help?

Econ465
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1 Answers1

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So I figured this out. The reason I was getting an "NA" value was that I wasn't giving R anything to compare. I was trying to run a regression where people only worked less than 20 jobs, which of course R couldn't give me stats on.

Econ465
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