11- what will you conclude about a regression model if the Breusch-Pagan test results in a p-value www smaller than the level of significance? Please select one; a) this implies no evidence of serial correlation b) this implies no evidence of heteroskedasticity c) this implies evidence of heteroskedasticity d) this implies evidence of serial correlation

11- what will you conclude about a regression model if the Breusch-Pagan test results in a p-value www smaller than the level of significance? Please select one; a) this implies no evidence of serial correlation b) this implies no evidence of heteroskedasticity c) this implies evidence of heteroskedasticity d) this implies evidence of serial correlation

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Heteroskedasticity can occur in a regression model if (a) the functional form of the regression model is misspecified (b) the Breusch-Pagan test results in a large p-value (c) the White test results in a large p-value (d) the regression model includes too many independent variables (e) the Breusch-Pagan test statistic is smaller than the critical value
Yi = B1 + B2xi2 + · · · + Brxik + ei, i = 1, . .., N, var (e; X) = var (y:|X) = o? Which property of linear regression model is most appropriate for the above regression? Select one: O a. heteroskedasticity O b. strict exogeneity c. autocorrelation O d. model mis-specification
Finally consider the regression model with an extra covariate: Yi = Bo + B1x1i + B2x2; + €; Let 32=3.13, it's standard error s.e.(B1)=1.12 and assume n=811. Based only on this information, decide if it is useful to include X2i in the regression model. Carefully showing every step of your hypothesis test and explaining your answer. Use signifi- cance level a = .05.
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you are given the following model, where u and v are error terms meeting all standard assumptions of the linear regression: y= B1+B2 In(X2)+u y=B1+B2 Ln(X2)+ B3 X3+v One of the selection criteria between the 2 models is to choose the one with the highest R-Square Select one: O True O False
(Yi, X1i, X2i) satisfy the assumptions of the attachment. You are interestedin β1, the causal effect of X1 on Y. Suppose that X1 and X2 are uncorrelated.You estimate β1 by regressing Y onto X1 (so that X2 is not included in theregression). Does this estimator suffer from omitted variable bias? Explain.
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19. The White test test statistic is n*R² ~x²(S-1). Where is the R² in the test statistic measured? A. The original econometric model when estimated using the White Robust Estimator B. The average from all the auxiliary regressions estimated with each explanatory variable as a function of the other explanatory variables C. The original econometric model before any test of heteroskedasticity has been performed D. The auxiliary regression of residuals as a function of the explanatory variables generating the heteroscedasticity 20. With annual times series data of 50 observations, how many observations are available to estimate the consumption econometric model CONt = Bo+ ß₁DISPYt + B₂CONt-1+ut A. 50 B. 47 C. 45 D. 49 21. Suppose the estimated simple linear demand equation for single-game tickets for a major football league is q=4.58-0.51p where q is the number of tickets sold measured in thousands and p is the dollar price of a ticket. Further assume that the point of the means_is…
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In multiple OLS regressions, if you are using power terms to fit for nonlinearity, how do you interpret the coefficients? For example: Yi=B1+B2X+B3X^2+Ui and B2 and B3 are both significant.