Part 1:
Suppose that you have run a regression model to estimate the equation using 1,000 observations and have obtained the following results.
Standard errors are in parentheses.
State whether or not you reject the null hypothesis that , and provide any statistics that lead you to this conclusion.
Part 2:
Use the same regression results as in the previous question.
State whether or not you reject the null hypothesis that , and provide any statistics that lead you to this conclusion.
Part 1: Suppose that you have run a regression model to estimate the equation using 1,000...
Question 14 3 pts Suppose that you estimate a multiple regression model, but that you inadvertently omit an explanatory variable that is correlated with the dependent variable. In this case, the coefficients on the included variables will always be biased. the coefficients on the included variables will always be unbiased, but the standard errors and test statistics will be biased. there is no effect on the coefficients of the included variables since the omitted variable has been omitted. the coefficients...
Suppose you construct a simple linear regression model. Using 5 observations the LSE of the slope is calculated as 0.3 with associated standard error .86. Now you wish to test H0:β=0 versus H1:β≠0 at the 0.05 significance level. Applying an appropriate test, you reject null fail to reject null either reject or fail to reject null have no conclusion
Suppose that you estimate a multiple regression model using OLS using a sample of 60 observations. The skewness of the residuals is 0.5 and the excess kurtosis is 1. As a result, the value of the Jarque-Bera test is _______ and we ______ reject the null hypothesis of normally distributed disturbances at the 5-percent level of significance. 10; cannot 10; can 5; cannot 5; cannot
#9 need help all of it SUMMARY OUTPUT Regression Statistics Multiple R 0.89079322 R Square Adjusted R S 0.78995244 Standard Erro 3.04000462 Observations 0.79351257 60 ANOVA MS Significance F df Regression 1 2059.8551 2059.8551222.888768 1.5799E-21 58 536.014429 9.24162808 59 2595.86953 3 Residual Total er 95% Lower 98.0% Upper 98.0% 4.70337792 0.85182782 5.52151244 8.2562E-07 2.99825928 6.40849657 2.66548423 6.74127162 ertising 2.04813433 0.13718744 14.9294597 1.5799E-21 1.77352384 2.32274483 1.7199302 2.37633847 Coefficients Standard Errot Stat P-value Lower 95% Intercept Adv 9. A marketing manager claims...
Question 15 3 pts Suppose that you estimate a multiple regression model using OLS using a sample of 120 observations. The skewness of the residuals is 0.5 and the excess kurtosis is 1. As a result, the value of the Jarque-Bera test is __and we reject the null hypothesis of normally distributed disturbances at the 5-percent level of significance. 5; cannot O 10; cannot 10; can 5; cannot
Question 15 3 pts Suppose that you estimate a multiple regression model using OLS using a sample of 120 observations. The skewness of the residuals is 0.5 and the excess kurtosis is 1. As a result, the value of the Jarque-Bera test is __and we reject the null hypothesis of normally distributed disturbances at the 5-percent level of significance. O 5; cannot O 10; can 5; cannot 10: cannot Question 16 3 pts
(1 point) In each part, we have given the significance level and the P-value for a hypothesis test. For each case determine if the null hypothesis should be rejected. Write "reject' or "do not reject' (without quotations). a)a 0.06, P 0.06 answer. (b) α 0.07,P-0.06 answer (c) α 0.01, P. 006 answer Note: You can earn partial credit on this problem. Preview My Answers Submit Answers You have attempted this problem 0 times. You have unlimited attempts remaining
Suppose you estimate the following model by OLS: wage = β0 + β1educ + β2exper + u wage : hourly age in dollars educ : years of education exper : years of experience You obtain the following fitted model using STATA, where standard errors are given in parenthesis wage [ = 3.5 + 0.9educ + 1.5exper (2.0) (0.7) (0.5) Number obs. : 523 R 2 = 0.45 For the following questions, make use to the relevant statistical tables. If you...
(1 point) Suppose that you have purchased a filling machine for candy bags that is supposed to fill each bag with 14 oz of candy. Assume that the weights of filled bags are approximately normally distributed. A random sample of 9 bags yields the following data (in oz): 13.13 13.29 13 13.42 14.52 13.59 14.79 14.59 14.59 Using a 0.05, can you conclude that the mean fill weight is actually less than 14 by computing the following: (a) the degree...
thank you for all the help! i appreciate everythjng! 1 2 3 (1 point) A random sample of 100 observations from a population with standard deviation 8.31 yielded a sample mean of 91.5. Part 1: Part 2: Part 3: Given that the null hypothesis is j = 90 and the alternative hypothesis is #90 using a = .05, find the following: (a) Test statistic = (b) P-value: Note: Round off the test statistic to 2 decimal places and the P-value...