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explain the significante level and p value

explain the significante level and p value

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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explain the significante level and p value

Breusch-Godfrey Serial Correlation LM Test: Null hypothesis: No serial correlation at up to 2 lags F-statistic 0.132451 Prob. F(2,4) 0.8796 Obs*R-squared 0.621123 Prob. Chi-Square(2) 0.7330 Test Equation: Dependent Variable: RESID Method: Least Squares Date: 01/09/22 Time: 20:25 Sample: 2010 2019 Included observations: 10 Presample missing value lagged residuals set to zero. Variable Coefficient Std. Error t-Statistic Prob. FDI -0.011392 0.521721 -0.021836 0.9836 INFL -0.046656 0.335248 -0.139169 0.8960 LFF -0.031153 0.294759 -0.105689 0.9209 1.301226 12.12834 0.107288 0.9197 RESID(-1) -0.035948 0.560379 -0.064150 0.9519 RESID(-2) -0.268216 0.528548 -0.507459 0.6385 R-squared 0.062112 Mean dependent var 3.91E-15 Adjusted R-squared -1.110247 S.D. dependent var 0.612843 S.E. of regression 0.890258 Akaike info criterion 2.889099 Sum squared resid 3.170240 Schwarz criterion 3.070650 Log likelihood -8.445496 Hannan-Quinn criter. 2.689938 F-statistic 0.052981 Durbin-Watson stat 1.700104 Prob(F-statistic) 0.996784
Transcribed Image Text:Breusch-Godfrey Serial Correlation LM Test: Null hypothesis: No serial correlation at up to 2 lags F-statistic 0.132451 Prob. F(2,4) 0.8796 Obs*R-squared 0.621123 Prob. Chi-Square(2) 0.7330 Test Equation: Dependent Variable: RESID Method: Least Squares Date: 01/09/22 Time: 20:25 Sample: 2010 2019 Included observations: 10 Presample missing value lagged residuals set to zero. Variable Coefficient Std. Error t-Statistic Prob. FDI -0.011392 0.521721 -0.021836 0.9836 INFL -0.046656 0.335248 -0.139169 0.8960 LFF -0.031153 0.294759 -0.105689 0.9209 1.301226 12.12834 0.107288 0.9197 RESID(-1) -0.035948 0.560379 -0.064150 0.9519 RESID(-2) -0.268216 0.528548 -0.507459 0.6385 R-squared 0.062112 Mean dependent var 3.91E-15 Adjusted R-squared -1.110247 S.D. dependent var 0.612843 S.E. of regression 0.890258 Akaike info criterion 2.889099 Sum squared resid 3.170240 Schwarz criterion 3.070650 Log likelihood -8.445496 Hannan-Quinn criter. 2.689938 F-statistic 0.052981 Durbin-Watson stat 1.700104 Prob(F-statistic) 0.996784
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