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Wald Test: Equation: EQ01 Test Statistic F-statistic Chi-square Value Select one: O a. 2 O b. 3 O c. 4 O d. 1 df 2.424929 (2, 114) 4.849858 2 Null Hypothesis: C(4)=C(5)=C(3) Null Hypothesis Summary: Normalized Restriction (= 0) -C(3) + C(4) -C(3) + C(5) Restrictions are linear in coefficients. The above is an Eviews output for a F-test for linear restrictions from a linear regression. How many restrictions are tested? Value Probability 0.0930 0.0885 2.266316 0.607934 Std. Err. 1.211957 0.472691

Wald Test: Equation: EQ01 Test Statistic F-statistic Chi-square Value Select one: O a. 2 O b. 3 O c. 4 O d. 1 df 2.424929 (2, 114) 4.849858 2 Null Hypothesis: C(4)=C(5)=C(3) Null Hypothesis Summary: Normalized Restriction (= 0) -C(3) + C(4) -C(3) + C(5) Restrictions are linear in coefficients. The above is an Eviews output for a F-test for linear restrictions from a linear regression. How many restrictions are tested? Value Probability 0.0930 0.0885 2.266316 0.607934 Std. Err. 1.211957 0.472691

MATLAB: An Introduction with Applications
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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Wald Test: Equation: EQ01 Test Statistic F-statistic Chi-square Value 2.424929 4.849858 Null Hypothesis: C(4)=C(5)=C(3) Null Hypothesis Summary: Select one: O a. 2 O b. 3 O c. 4 O d. 1 df (2, 114) 2 Normalized Restriction (= 0) -C(3) + C(4) -C(3) + C(5) Restrictions are linear in coefficients. The above is an Eviews output for a F-test for linear restrictions from a linear regression. How many restrictions are tested? Value Probability 0.0930 0.0885 2.266316 0.607934 Std. Err. 1.211957 0.472691
Transcribed Image Text:Wald Test: Equation: EQ01 Test Statistic F-statistic Chi-square Value 2.424929 4.849858 Null Hypothesis: C(4)=C(5)=C(3) Null Hypothesis Summary: Select one: O a. 2 O b. 3 O c. 4 O d. 1 df (2, 114) 2 Normalized Restriction (= 0) -C(3) + C(4) -C(3) + C(5) Restrictions are linear in coefficients. The above is an Eviews output for a F-test for linear restrictions from a linear regression. How many restrictions are tested? Value Probability 0.0930 0.0885 2.266316 0.607934 Std. Err. 1.211957 0.472691
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