Linear Regression HW
Download dataset http://www.cse.sc.edu/~rose/587/CSV/MaunaLoa.csv The description of dataset
is ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2_mm_mlo.txt
Explore the first two columns which contain real numbers:
a. Plot the column labelled ‘interpolated’ (Y) against the column labelled ‘DecimalDate’ (X).
Save the plot to a pdf file.
b. Try fitting these two columns with a linear model lm(). Hint: You might want to review
the linear regression lab.
c. As in the linear regression lab, visualize the model with the commands, where m is the
variable you used to hold the model:
par(mfrow=c(2,2))
plot(m)
Save this plot to a pdf file.
d. Explain the top left figure. What does this tell us about the fit of our model?
e. Visualize the predicted and observed y values similar to what we did in slide 6 of the
linear regression lab. Save this graph to a pdf file.
f. Looking at the plot from 1.a, explain whether this data is i.i.d. Justify your answer.
Be sure to also submit your R code.
