Question: bikes < - read.csv ( bikeshare . csv , strings = T ) # CG Q 3 b # Fit a regression using

bikes<-read.csv("bikeshare.csv", strings = T) # CG Q3b # Fit a regression using the variables from Q2a
########## with the addition of the lagged variable.
########## Call your fitted model ar1fit. # CG Q3c # Find the R-squared using the same code
########## structure from previous HWs and lecture. # CG Q3d # Use similar code to Q2f to print the
########## autocorrelation at lag 1 for the residuals
########## from your AR regression.

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