q18- Dependent Variable: YMethod: Least SquaresDate: 07/27/20 Time: 17:10Sample: 1 669Included observations: 669VariableсXR-squaredAdjusted R-squaredS.E. of regressionSum squared residLog likelihoodF-statisticProb(F-statistic)CoefficientSelect one:O a. 0.92O b. 12146.65O c. 4.267O d. 0.087Std. Errort-Statistic Prob.0.0871720.233503 0.3733230.920747 0.329976 2.7903430.0115380.0100574.267419 Akaike info criterion12146.65 Schwarz criterionMean dependent varS.D. dependent var-1918.993 Hannan-Quinn criter.7.786016 Durbin-Watson stat0.0054160.70900.00540.5482344.2890405.7428805.7563515.7480981.912093From the above regression results between Y and X, what is the expected value of Y when X = 0?

Linear regression is subsequently graphically depicted utilizing a straight line with the slope…

Dependent Variable: Y Method: Least Squares Date: 07/27/20 Time: 17:10 Sample: 1669 Included observations: 669 Variable x R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) Coefficient 0.087172 0.920747 Select one: O a. 0.92 O b. 12146.65 O c. 4.267 O d. 0.087 Std. Error t-Statistic 0.233503 0.373323 0.329976 2.790343 0.011538 Mean dependent var 0.010057 S.D. dependent var 4.267419 Akaike info criterion 12146.65 Schwarz criterion -1918.993 Hannan-Quinn criter. 7.786016 Durbin-Watson stat 0.005416 Prob. 0.7090 0.0054 0.548234 4.289040 5.742880 5.756351 5.748098 1.912093 From the above regression results between Y and X, what is the expected value of Y when X = 0?

Dependent Variable: Y Method: Least Squares Date: 07/27/20 Time: 17:10 Sample: 1669 Included observations: 669 Variable x R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) Coefficient 0.087172 0.920747 Select one: O a. 0.92 O b. 12146.65 O c. 4.267 O d. 0.087 Std. Error t-Statistic 0.233503 0.373323 0.329976 2.790343 0.011538 Mean dependent var 0.010057 S.D. dependent var 4.267419 Akaike info criterion 12146.65 Schwarz criterion -1918.993 Hannan-Quinn criter. 7.786016 Durbin-Watson stat 0.005416 Prob. 0.7090 0.0054 0.548234 4.289040 5.742880 5.756351 5.748098 1.912093 From the above regression results between Y and X, what is the expected value of Y when X = 0?

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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