Question

QUESTION 24
True or False: Measurement error in the dependent variable causes our beta-hat estimates to be biased.
True

False

2.5 points   

QUESTION 25
True or False: Perfect multicollinearity means all independent variables are uncorrelated with each other.
True

False

2.5 points   

QUESTION 26
True or False: Statistical tools allow us to prove the null hypothesis is wrong.
True

False

2.5 points   

QUESTION 27
True or False: The coefficient on the interaction of a dummy variable and a continuous variable indicates whether slope associated with the continuous variable is different for the group indicated by the dummy variable.
True

False

2.5 points   

QUESTION 28
True or False: Type I errors occur when we fail to reject a null hypothesis even when it is false.
True

False

2.5 points   

QUESTION 29
True or False: Type II errors occur when we fail to reject a null hypothesis even when it is false.
True

False

2.5 points   

QUESTION 30
True or False: We can include a categorical variable (such as region) in a multivariate model in the same way we include a continuous variable.
True

False

2.5 points   

QUESTION 31
True or False: We fail to reject the null hypothesis if the test statistic is greater than the critical value.
True

False

2.5 points   

QUESTION 32
True or False: We necessarily do not have an omitted variable bias problem the omitted variable is uncorrelated with the included variable.
True

False

2.5 points   

QUESTION 33
True or False: When conducting analysis using categorical variables, we include a dummy variable for every category covered by the categorical variable.
True

False

Answer 1

24. Ans - False

Measurement error in the independent variable causes our beta-hat estimates to be biased not in dependent variable.

25. Ans - False

Perfect multicollinearity means all independent variables are linearly correlated with each other not uncorrelated.

26. True

Statistical tools allow us to prove the null hypothesis is wrong

27. Ans - True

28. Ans - False

This type is called type II error. Type II errors occur when we fail to reject a null hypothesis even when it is false not type I.

29. Ans - True

** we are only allowed to do 1st question, however i answer 6 questions> please post other questions separately**