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if the value of Durbin Watson statistics is less than 1 it suggets
B] positive serial correlation is likely an issue
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Question 11 If the Durbin-Watson statistic is less than 1, then O non-stationarity is likely an...
Question 11 3 pts If the Durbin-Watson statistic is less than 1, then negative serial correlation...
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.
If the Durbin-Watson statistic is greater than 3, then: spurious regression is likely an issue. non-stationarity...
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.
If the Durbin-Watson statistic is greater than 3, then Group of answer choices positive 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...
Please answer the following questions, thannks plzz Question 11 3 pts If the Durbin-Watson statistic is...
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?...
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...
The following show the results of regression: Housing Sold = b0 + b1 permit +b2 price...
The following show the results of regression: Housing Sold = b0 + b1 permit +b2 price + b3 employment Dependent Variable: SOLD , Method: Least Squares Date: 03/15/20 Time: 14:59 Included observations: 108 Variable Coefficient Std. Error t-Statistic Prob. C -61520.76 167763.0 -0.366712 0.7146 PERMIT 15.98282 .280962 12.47721 0.0000 PRICE ...
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X....
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...
Serial correlation, its implications on the OLS model. What is classical Assumption 4 Error term has...
Serial correlation, its implications on the OLS model. What is classical Assumption 4 Error term has constant variance Error term is normally distributed All explanatory variables are un correlated with error term Different observations of error term are uncorrelated each other Relationship between serial correlation and classical assumption 4. Serial violates classical assumption 4 always hold Serial violates support Serial violates is not related Serial violates is used to help when 4 violated Assuming we are using an appropriate test...
The following data represent the number of sweatshirts sold for each of the past six days...
The following data represent the number of sweatshirts sold for each of the past six days for a department store. Day 2 4 Sales 12 8 4 14 Using an exponential smoothing technique with alpha equal to 0.4, what is the forecasting error for pay 4 OA. -4.6 O B. 6.0 C. OD. 8.8 The following data represent the number of complaints per month that customer service received at a large retailer over the last 15 months. Month Complaints 10...
QUESTION 4 a business's gross margin is less than its operating expense percentage, what will be...
QUESTION 4 a business's gross margin is less than its operating expense percentage, what will be the likely impact a. The net profit margin will likely be negative. b. The net profit margin will likely be positive. c. Income taxes will likely be owed for the period in question. d. Operating profit will likely be positive.
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.
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...
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 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...
The following data represent the number of sweatshirts sold for each of the past six days for a department store. Day 2 4 Sales 12 8 4 14 Using an exponential smoothing technique with alpha equal to 0.4, what is the forecasting error for pay 4 OA. -4.6 O B. 6.0 C. OD. 8.8 The following data represent the number of complaints per month that customer service received at a large retailer over the last 15 months. Month Complaints 10...
QUESTION 4 a business's gross margin is less than its operating expense percentage, what will be the likely impact a. The net profit margin will likely be negative. b. The net profit margin will likely be positive. c. Income taxes will likely be owed for the period in question. d. Operating profit will likely be positive.
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