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Suppose that n = 50, i.i.d. observations for (Yi, Xi) yield the following
regression results:
Ŷ= 49.2 + 73.9X, SER = 13.4, R2 = 0.78.
(23.5) (16.4)
Another researcher is interested in the same regression, but makes an error
when entering the data into a regression program: The researcher enters
each observation twice, ending up with 100 observations (with observation
1 entered twice, observation 2 entered twice and so forth).
a. Using these 100 observations, what results will be produced by the
regression program? (Hint: Write the “incorrect” values of the sample
means, variances, and
values. Use these to determine the regression statistics.)
Ŷ = ____ + ____X, SER = ____, R2 = ____.
(____) (____)
b. Which (if any) of the internal validity conditions are violated?
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- A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were y=ax+b a=-1.324 b=23.586 r2=0.887364 r=-0.942 Use this to predict the number of situps a person who watches 11.5 hours of TV can do (to one decimal place)arrow_forwardA regression was run to determine if there is a relationship between hours of study per week (xx) and the test scores (yy).The results of the regression were:y=ax+b a=6.686 b=35.26 r2=0.6084 r=0.78 Use this to predict the final exam score of a student who studies 8.5 hours per week, and please round your answer to a whole number.arrow_forwardA regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=5.614 b=32.79 r2=0.808201 r=0.899 Use this to predict the final exam score of a student who studies 1 hours per week, and please round your answer to a whole number.arrow_forward
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