The distribution of number of people per household is

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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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
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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