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Consider the linear regression model Y; = Bo + B, X; +U; for each i = 1,..., n with n = 1,000. X; represents the annual income of individual i (measured in $10,000) and Y; represents the home size (measured in square feet). We run an OLS regression and get: B1n = 43.2, SE(B1,n) = 10.2, Bo,n = 700, SE(Bo.n) = 7.4. Suppose that we want to test Ho : B1 = 55 against H1 : B1 < 55 at 1% significance level. Assuming that the sample size is large enough, which one of the following is true about the p-value of this test? O a. The p-value can be computed as (| 43.2–55 10.2 D, where is the standard Normal CDF O b. The p-value can be computed as $( 43.2–55 102), where & is the standard Normal CDF O c. None of the answers 43.2-55 O d. The p-value can be computed as 1 – ( ), where d is the standard Normal CDF Clear my choice

Consider the linear regression model Y; = Bo + B, X; +U; for each i = 1,..., n with n = 1,000. X; represents the annual income of individual i (measured in $10,000) and Y; represents the home size (measured in square feet). We run an OLS regression and get: B1n = 43.2, SE(B1,n) = 10.2, Bo,n = 700, SE(Bo.n) = 7.4. Suppose that we want to test Ho : B1 = 55 against H1 : B1 < 55 at 1% significance level. Assuming that the sample size is large enough, which one of the following is true about the p-value of this test? O a. The p-value can be computed as (| 43.2–55 10.2 D, where is the standard Normal CDF O b. The p-value can be computed as $( 43.2–55 102), where & is the standard Normal CDF O c. None of the answers 43.2-55 O d. The p-value can be computed as 1 – ( ), where d is the standard Normal CDF Clear my choice

College Algebra
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
Section: Chapter Questions
Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...
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Consider the linear regression model Y; = Bo + B, X; +U; for each i = 1,..., n with n = 1,000. X; represents the annual income of individual i (measured in $10,000) and Y; represents the home size (measured in square feet). We run an OLS regression and get: B1n = 43.2, SE(B1,n) = 10.2, Bo,n = 700, SE(Bo.n) = 7.4. Suppose that we want to test Ho : B1 = 55 against H1 : B1 < 55 at 1% significance level. Assuming that the sample size is large enough, which one of the following is true about the p-value of this test? O a. The p-value can be computed as (| 43.2–55 10.2 D, where is the standard Normal CDF O b. The p-value can be computed as $( 43.2–55 102), where & is the standard Normal CDF O c. None of the answers 43.2-55 O d. The p-value can be computed as 1 – ( ), where d is the standard Normal CDF Clear my choice
Transcribed Image Text:Consider the linear regression model Y; = Bo + B, X; +U; for each i = 1,..., n with n = 1,000. X; represents the annual income of individual i (measured in $10,000) and Y; represents the home size (measured in square feet). We run an OLS regression and get: B1n = 43.2, SE(B1,n) = 10.2, Bo,n = 700, SE(Bo.n) = 7.4. Suppose that we want to test Ho : B1 = 55 against H1 : B1 < 55 at 1% significance level. Assuming that the sample size is large enough, which one of the following is true about the p-value of this test? O a. The p-value can be computed as (| 43.2–55 10.2 D, where is the standard Normal CDF O b. The p-value can be computed as $( 43.2–55 102), where & is the standard Normal CDF O c. None of the answers 43.2-55 O d. The p-value can be computed as 1 – ( ), where d is the standard Normal CDF Clear my choice
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