Suppose you have a sample of 64 observations of Y and X. Youestimated the following simple regression:Y = B1 + B2 X + u,where Y is a dependent variable, X is a regressor, andu is adisturbance term.What is the correct critical value of the t distribution for apositive one-tailed test at a 5% significance level?O t> co.05,63Ot< co.05,62O t> Co.05,62O t> Co.025,62

Option A Significance level = 1-5% = 0.05 Degrees of freedom = N - 1 = 63

Answered: Suppose you have a sample of 64…

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

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O Given are five observations for two variables, x and y. Excel File: data14-25.xlsx 6 9 13 20 Yi 18 9. 26 23 The estimated regression equation is y = 7. 6+ 0. 9x. a. What is the value of the standard error of the estimate (to 4 decimals)? b. Test for a significant relationship by using the t test. Use a = 0.05. What is the value of the t test statistic (to 2 decimals)? What is the p-value? Use Table 2 of Appendix B. Select your answer- What is your conclusion (a = 0.05)? - Select your answer - c. Use the F test to test for a significant relationship. Use a = 0.05. Compute the value of the F test statistic (to 2 decimals). What is the p-value? Use Table 4 of Appendix B. - Select your answer- What is your conclusion? - Select your answer- 21
Q. 30 The t test can be used for testing the JOINT significance of ALL explanatory variables x2, x3, and x4 in a multiple regression model. O True O False
M1
Please do not explain, just say the answer like A,B,C,D,
With Panel Data, if we assume that the individual effects vi are not correlated with the regressors Xit (i.e. E(vi|Xit) = 0), which one of the following statements is correct: The Fixed Effects estimator is not consistent. Both the OLS and the Random Effects estimators are not consistent. The OLS estimator is not consistent, but the Random Effects estimator is consistent. The OLS and the Random Effects estimator are consistent. All of the above. None of the above
Suppose that a random sample of 200 20-year-old men is selected from a population and that these men's height and weight are recorded. A sion of weight on height yields regres- Weight = –99.41 + 3.94 × Height, R2 = 0.81, SER = 10.2, || where Weight is measured in pounds and Height is measured in inches. a. What is the regression's weight prediction for someone who is 70 in. tall? 65 in. tall? 74 in. tall? b. A man has a late growth spurt and grows 1.5 in. over the course of a year. What is the regression's prediction for the increase in this man's weight?
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Question 1) Which of the following can cause the usual OLS t statistics to be invalid (that is, not to have t distribu- tions under HO)? (i) Heteroskedasticity. (ii) A sample correlation coefficient of 95 between two independent variables that are in the model. (iii) Omitting an important explanatory variable Question 2) Which of the following can cause OLS estimators to be biased? (i) Heteroskedasticity. (ii) Omitting an important variable. (iii) A sample correlation coefficient of .95 between two independent variables both included in the model.
(1) Omitted variable bias A. will always be present as long asthe regression R2 < 1 B. is suspected to exist when the estimated coefficient i different from the true population parameter. C. is suspeted to exits if the estimated coeffcient on the included independent variable changes by more than one standard error when including the omitted variable into the regression D. is suspected to exist the omitted variable is no the True population model But is coroleted with any of the included independent variables.
You estimated a linear regression model with 3 explanatory variables using a sample of 29 observations. You are asked to test the overall significance of the model.the F-statistics calculated is equal to 2.567 and the F-critical at 5% level is 3.028. The p-value of the test can be expressed as: Select one: O a. P(F(3,25)<=2.567) O b. 1-P(F(3,25)<=2.567) O c. P(F(3,25)<3.028) O d. 1-P(F(3,25)<33.28)

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