7)
The test statistic for testing for correlation coefficient is given by:
Hence 2nd option.
Note- Dear student, as HOMEWORKLIB's policy, the expert is advised to solve only the first question.
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X....
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 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: spurious regression. omitted variable bias. multicollinearity. serial correlation.
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...
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: multicollinearity. spurious regression. omitted variable bias. serial correlation.
Question 9 3 pts Consider the scatter diagram below: 200 150 no 50 0 0 20 40 60 80 100 х This most likely illustrates the problem of serial correlation heteroskedasticity multicollinearity homoskedasticity
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...
Question 10 3 pts Which of the following would result in the widest (largest) confidence interval? o large sample size and 99-percent confidence o large sample size and 95-percent confidence o small sample size and 99-percent confidence small sample size and 95-percent confidence. Question 11 3 pts If the Durbin-Watson statistic is less than 1, then spurious regression is likely an issue. o positive serial correlation is likely an issue. o non-stationarity is likely an issue. o negative serial correlation...
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...
Question 25 3 pts Suppose that the null hypothesis is that the medical treatment is not effective. Suppose that the medical treatment is truly effective, but a researcher does not reject the null hypothesis at the 5-percent level of significance. This researcher o is guilty of a post hoc ergo propter hoc fallacy. o has conducted a test with high statistical power. o has made a Type 1 error. o has made a Type 2 error. Question 26 3 pts...