Question: Use the table below to answer the following questions: Dependent Variable: PCE Method: Least Squares Date: 02/02/18 Time: 03:56 Sample: 1960 2009 Incduded observations: 50 Variable Coficient Std. Error t-Statistic Prob. -31.88846 18.22720 -1.749498 0.0866 INCOME 0.819232 0.003190 256.7871 0.0000 R-squared Adjusted R-squared SE. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) 0.999273 Mean dependent var 0.999257 S.D. dependent var 83.86681 Akaike info criterion 3522.160 3077.678 11.73551 11.81200 11.76464 0.568044 337614.8 Schwarz criterion -291.3879 Hannan-Quinn criter. 65939.59 Durbin-Watson stat 0.000000 1) Make a simple linear regression equation using the table. 2) Do hypothesis testing by making hypothesis and then checking significance through T- test& P-value both. 3) Explain the adjusted R square in table and also analyze the F-value in the table.

Question: Use the table below to answer the following questions: Dependent Variable: PCE Method: Least Squares Date: 02/02/18 Time: 03:56 Sample: 1960 2009 Incduded observations: 50 Variable Coficient Std. Error t-Statistic Prob. -31.88846 18.22720 -1.749498 0.0866 INCOME 0.819232 0.003190 256.7871 0.0000 R-squared Adjusted R-squared SE. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) 0.999273 Mean dependent var 0.999257 S.D. dependent var 83.86681 Akaike info criterion 3522.160 3077.678 11.73551 11.81200 11.76464 0.568044 337614.8 Schwarz criterion -291.3879 Hannan-Quinn criter. 65939.59 Durbin-Watson stat 0.000000 1) Make a simple linear regression equation using the table. 2) Do hypothesis testing by making hypothesis and then checking significance through T- test& P-value both. 3) Explain the adjusted R square in table and also analyze the F-value in the table.

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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