Question 10 3 pts Which of the following would result in the widest (largest) confidence interval?...
Please answer the following questions, thannks plzz Question 11 3 pts If the Durbin-Watson statistic is less than 1, then o negative serial correlation is likely an issue. spurious regression is likely an issue. O positive serial correlation is likely an issue. O non-stationarity is likely an issue. Question 12 3 pts Consider the estimated multiple regression model using OLS, with the standard errors in parentheses below each estimated coefficient. There are 1,576 observations in the sample: Y; = 10...
If the Durbin-Watson statistic is greater than 3, then Group of answer choices positive serial correlation is likely an issue. non-stationarity is likely an issue. negative serial correlation is likely an issue. spurious regression is likely an issue. Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high (above 0.8), while none of the estimated coefficients are (individually) statistically different from zero at the 5-percent level of significance. The most likely reason for...
Question 11 3 pts If the Durbin-Watson statistic is less than 1, then negative serial correlation is likely an issue. positive serial correlation is likely an issue. spurious regression is likely an issue. O non-stationarity is likely an issue.
Question 10 3 pts Which of the following would result in the narrowest (smallest) confidence interval? large sample size and 95-percent confidence small sample size and 99-percent confidence small sample size and 95-percent confidence. large sample size and 99-percent confidence
If the Durbin-Watson statistic is greater than 3, then: spurious regression is likely an issue. non-stationarity is likely an issue. negative serial correlation is likely an issue. positive serial correlation is likely an issue.
Question 11 If the Durbin-Watson statistic is less than 1, then O non-stationarity is likely an issue. O positive serial correlation is likely an issue. O spurious regression is likely an issue. negative serial correlation is likely an issue. Question 12
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X. If the sample correlation coefficient is 0.5 (r=0.5), and you want to test the null hypothesis that the true population correlation coefficient (rho) is equal to zero, then the test statistic associated with this null hypothesis is: o 5 04 O2 O 3 Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high...
Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high (above 0.8), while none of the estimated coefficients are (individually) statistically different from zero at the 5-percent level of significance. The most likely reason for this result is: O multicollinearity. omitted variable bias. O serial correlation. spurious regression. 3 pts Question 9
Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high (above 0.8), while none of the estimated coefficients are (individually) statistically different from zero at the 5-percent level of significance. The most likely reason for this result is: omitted variable bias. o serial correlation. spurious regression. o multicollinearity.
Question 12 3 pts Consider the estimated multiple regression model using OLS, with the standard errors in parentheses below each estimated coefficient. There are 1,576 observations in the sample: Ỹ = 10 + 2x - 5X36 (3) (1.5) (2) Suppose the null hypothesis is that the true coefficient (population parameter) for X3 is equal to 1. The test statistic associated with this null hypothesis is: -3 0-2 O 2