Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very...
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.
Homework Answers
Ans is A
due to multicollinearity standard deviation increase. When standard deviation increase it will reduce the statistics value and most of the variable will be insignificant. Thus even with higher R2, most variable are insignificant leading to cause due to multicollinearity
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Suppose you estimate a multiple regression model using OLS and
the coefficient of determination is very...
Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient...
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.
Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient...
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...
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
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Group of answer choices
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Suppose you estimate a multiple regression model using OLS and
the coefficient of determination is very high (above 0.8), while
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different from zero at the 5-percent level of significance. The
most likely reason for...
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If the Durbin-Watson statistic is greater than 3, then
Group of answer choices
positive serial correlation is likely an issue.
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spurious regression is likely an issue.
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most likely reason for...
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