Professor Mumford
Econ 360  Fall 2010
[email protected]
Problem Set 3
Due at the beginning of class on Tuesday, September 14
Multiple Choice Questions
(12 points)
Suppose that a random sample of 200 male students is selected from Purdue’s student
population. These mens’ weight (measured in pounds) is regressed on their height (measured
in inches) with the following result:
d
weight
=

100 + 4
height
n
= 200
R
2
=
.
8100
1. What is the predicted weight from this regression for someone who is 5’10” (70 inches)
tall?
(a) 380
(b) 280
(c) 200
(d) 180
2. Suppose that instead of measuring in pounds and inches, we measured in pounds and
feet (5.833 feet instead of 70 inches). What would be the estimated intercept? (note
that 12 inches = 1 foot)
(a) 8.333
(b) 12
(c) 100
(d) 1200
3. Again, suppose that instead of measuring in pounds and inches, we measured in pounds
and feet. What would be the estimated coeficient on
height
?
1
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
4. Suppose that instead of measuring in pounds and inches, we measured in kilograms and
inches. What would be the estimated intercept? (note that 1 pound = .454 kilograms)
5. Again, suppose that instead of measuring in pounds and inches, we measured in kilo
grams and inches. What would be the estimated estimated coeficient on
height
?
6. Suppose that instead of measuring in pounds and inches, we measured in kilograms
and feet. What would be the new Rsquared?
(a) 0.0675
(b) 0.2700
(c) 0.3677
(d) 0.8100
True/False
(6 points) Please write the entire word. No explanations are required.
7. In the simple linear regression model, the homoskedasticity assumption means that the
error,
u
, has the same variance given any value of the explanatory variable,
x
.
This is the end of the preview.
Sign up
to
access the rest of the document.
 Spring '10
 NA
 Linear Regression, Regression Analysis, regression model, College GPA

Click to edit the document details