The distribution of number of people per household is
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![Question 2
The distribution of number of people per household is
O not normally distributed because it is discrete and skewed
O normally distributed
O normally distributed even though it is discrete
O normally distributed even though it is skewed
Question 3
Assuming CR1-CR3 plus a large enough sample, the 95% confidence interval for B, in the schools
example is
O (-2.82, -1.40)
None of these
1.96
O -2.11
Question 4
Consider the two regression models
Model 1: Y; = Bo + E;
%3D
Model 2: Y, = B, + B1 X1; + B2 X + Ei
%3D
You wish to test the null hypothesis Ho B = 0 and B2 0.
You compute the Wald statistic:
R-Rvil
W =
(1-)
N-Kalt-
O R2null is an R-squared, but not from either Model 1 or Model 2
O R2alt is the R-squared from Model 2 and R2null is the R squared from Model 1
O R2alt is the R-squared from Model 1 and R2null is the R squared from Model 2
O R2alt is an R-squared, but not from either Model 1 or Model 2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F00b48008-a5c3-4333-86fa-8bfc3367cef4%2Fdf897d9c-678a-42a5-b21a-164a04025a1b%2F9oerj2e_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Question 2
The distribution of number of people per household is
O not normally distributed because it is discrete and skewed
O normally distributed
O normally distributed even though it is discrete
O normally distributed even though it is skewed
Question 3
Assuming CR1-CR3 plus a large enough sample, the 95% confidence interval for B, in the schools
example is
O (-2.82, -1.40)
None of these
1.96
O -2.11
Question 4
Consider the two regression models
Model 1: Y; = Bo + E;
%3D
Model 2: Y, = B, + B1 X1; + B2 X + Ei
%3D
You wish to test the null hypothesis Ho B = 0 and B2 0.
You compute the Wald statistic:
R-Rvil
W =
(1-)
N-Kalt-
O R2null is an R-squared, but not from either Model 1 or Model 2
O R2alt is the R-squared from Model 2 and R2null is the R squared from Model 1
O R2alt is the R-squared from Model 1 and R2null is the R squared from Model 2
O R2alt is an R-squared, but not from either Model 1 or Model 2
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