1. Dr. AB is designing a 3 x 7 factorial experiment. Which of the following is true about AB's study?
Dr. AB has 21 subjects.
Dr. AB's study has 2 independent variables: one with 3 levels and one with 7 levels
Dr. AB's study has 21 independent variables.
Dr. AB's study has 3 independent variables: one with 3 levels, one with 7 levels, and one with 21 levels.
Correct answer: (B) Dr. AB's study has 2 independent variables: one with 3 levels and one with 7 levels
2. How many levels were used for factor B?
1 Level
2 Levels
3 Levels
4 Levels
Correct answer: (C) 3 Levels
3. This means that for every unit increase in your independent variable, your dependent variable increases b 0.478 units What degrees of freedom do you report in a multiple regression?
Residual degree of freedom
Error and residual degree of freedom
Regression and residual degrees of freedom
Adjusted R squared and regression degrees of freedom
Correct answer: (C) Regression and residual degrees of freedom
4. Suppose you are using the specification: wage = a + βEducation + δMale + θExperience + & In your data the variables Education and Experience happen to be highly correlated because the observations with a lot of education happen NOT to have much experience. As a consequence of this negative correlation the OLS estimates
are likely to be better because the movement of one explanatory variable offsets the other, allowing the computer more easily to isolate the impact of each on the dependent variable.
are likely to be better because the negative orrelation reduces variance making estimates more reliable.
are likely to be worse because the model can’t tell which variable is causing changes in the dependent variable.
are likely to be worse because compared to positive correlation the negative correlation increases variance, making estimates less reliable.
Correct answer: (C) are likely to be worse because the model can’t tell which variable is causing changes in the dependent variable.
5. our forecasted value of y is
7
9
25
impossible to determine
Correct answer: (B) 9
6. What do ANOVA calculate?
Z-scores
F ratios
Chi square
T-scores
Correct answer: (B) F ratios
7. To determine whether the test statistic of ANOVA is statistically significant, it can be compared to a critical value. What two pieces of information are needed to determine the critical value?
Sample size, number of groups
Mean, sample standard deviation
Expected frequency, obtained frequency
MSTR The treatment mean square (MSTR), Mean Square Error (MSE)
Correct answer: (A) Sample size, number of groups
8. The mean square is the sum of squares divided by
the total number of observations
its corresponding degrees of freedom - 1
its corresponding degrees of freedom
none of these
Correct answer: (C) its corresponding degrees of freedom
9. For the regression specification γ = α + βх + εthe OLS estimates result from minimizing the sum of
(α + βх)2
(α + βх + ε)2
(γ − α + βх)2
None of these
Correct answer: (D) None of these
10. Malcolm Baldrige national quality award is for (MBNQA)