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Instructions for homework 4 in the statistics and computing course (22s:105) taught by professor cowles during spring 2006. The assignment includes tasks related to finding the least-squares regression equation, creating scatterplots, and analyzing residuals using sas software. Students are required to find the relationship between returns on u.s. And overseas investments over a 26-year period.
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Due: Fri., 02/17 in classPlease put your name at the top of your homework, and list the names of any classmateswith whom you collaborated.1. Investors ask about the relationship between returns on investments in the U.S. and
on investments overseas.
The data file “stocks.dat” gives the total returns on U.S.
and overseas common stocks over a 26-year period.
(The total return is change in
price plus any dividends paid, converted into U.S. dollars. Both returns are averagesover many individual stocks. Use SAS to get the numbers required for answering thefollowing questions.(a) Find the least-squares regression equation of overseas returns on U.S. returns.(b) Produce a scatterplot with the regression line superimposed on it.(c) Produce a residual plot.(d) In 1997, the return on U.S. stocks was 33.4%. Use the regression line to predict
the return on overseas stocks.
(You may either calculate this by hand or use
SAS output.)
The actual overseas return was 2.1%.
Are you confident that
predictions using the regression line will be quite accurate? Why? (e) In both of your plots, circle the point that has the largest residual (either positive
or negative). What year is this? (f) Are there any points that seem likely to be very influential? If so, identify them
in your scatterplot and residual plot.
data farm ;input year pop ;datalines ; 1935