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1.The nature and scope of econometrics 2.the linear regression model 3.the two-variable model 4.multiple regression:estimation and hypothesis testing. You will have 1 hour to do the exam i ll copy and...

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1.The nature and scope of econometrics

2.the linear regression model

3.the two-variable model

4.multiple regression:estimation and hypothesis testing.

You will have 1 hour to do the exam i ll copy and send u the questions.

Answered Same Day Dec 20, 2021

Solution

David answered on Dec 20 2021
130 Votes
1. A linear regression model means a model
linear in the variables.
Answer True
False







1. Although the expected value of a random
variable can be positive or negative, its
variance is always positive.
Answer True
False






Question 3
1. The OLS estimators b1 and b2 each follow
the normal distribution only if ui follows the
normal distribution.
Answer True
False
5 points
Question 4
1. When we say that an estimated regression
coefficient is statistically significant, we
mean that it is statistically different from 1.
Answer True
False
5 points
Question 5
1. The way to determine whether a group of
explanatory variables exerts significant
influence on the dependent variable is to see
if any of the explanatory variables has a
significant t statistic; if not, they are
statistically insignificant as a group.
Answer True
False
5 points
Question 6
1. Assuming the following PRF, Yi = β1 + β2Xi
+ ui, and n = 200, the result that E(b1) = β1 is
important because (choose all that apply)
Answer

A. Since b1 is a constant it will always equal β1

B. b1 is a random variable, so it has to equal β1

C. b1 is a random variable, it can take on many different values and so if it is
centered around the true β1, we can have confidence that doing
hypothesis testing regarding b1 is valid.

D. We believe that b1 is always true
5 points
Question 7
1. Assuming the following PRF, Yi = β1 +
β2Xi + ui, and n = 200, choosing b1 and
2 to minimize the sum of squared
esiduals implies that (choose all that
apply)
Answer

A. We are maximizing the explanatory part of the regression model.

B. We are minimizing the standard e
or estimates for b1 and b2.

C. We are increasing the size of the confidence interval when doing
hypothesis testing.

D. Increasing the likelihood of finding that the estimated coefficients are
statistically different from zero.
5 points
Question 8
1. Assuming the following PRF, Yi = β1 + β2Xi
+ ui, and n = 200, if b2/se(b2) = 2.0, then
(choose all the apply)
Answer

A. The null hypothesis b2 = 0 can be...
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