Plotting Regression

[TJ37043]

The first part of my code runs smoothly.

Here is the first part of my code taken from the Kutner data:

lmACT <- lm(CH03PR01$GPA ~ CH03PR01$ACT)
lmIS <- lm(CH03PR01$GPA ~ CH03PR01$Intelligence Score)
lmCRP <- lm(CH03PR01$GPA ~ CH03PR01$ClassRankPercent)
summary(lmACT)
summary(lmIS)
summary(lmCRP)

*The second part of my code only generates the first plot. This is the error code I receive: *
Error in [.data.frame(data, , 3) : undefined columns selected

Here is my code for the plots:

par(mfrow=c(1, 3))

plot(data[,1] ~ data[,2], main= "First Year GPA vs. ACT Score", xlab="ACT score", ylab="First Year GPA")
abline(lmACT, col="red")

plot(data[,1] ~ data[,3], main= "First Year GPA vs. Intel. Test Score", xlab="Intel. Test Score",
ylab="First Year GPA")
abline(lmIS, col="red")

plot(data[,1] ~ data[,4], main= "First Year GPA vs. H.S. Prec. Rank", xlab="Class Rank Percentile",
ylab="First Year GPA")
abline(lmCRP, col="red")

I hope I posted this correctly, and any help is much appreciated.

[jrkrideau]

If nothing else we need some sample data

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[TJ37043]

Thank you so much! I realize now I forgot to attach the dataset! I have forgotten so much due to having contracted a severe illness. I feel so silly now. Thank you again.