1. Increasing the confidence level could lead to conclude that the beta is not significant (not important) True False

2. The fewer variables in the model the higher the R square true False

3. You are given the descriptive statistics for a dataset such as: Median (54.08), Mode (60.17), Sample Variance (149.79), Kurtosis (-0.21), Skewness (-0.19), Sum (3057.83), Count (56), t-value at 95% CL (2.004): Lower limit for the mean at 95% is: 57.88 52.83 51.33 52.96

4. You are given the descriptive statistics for a dataset such as: Median (6983.43), Mode (:), Sample Variance (1573128.64), Kurtosis (-0.76), Skewness (0.08), Sum (1389620.69), Count (200), t-value at 95% CL (1.972). The Lower limit for the mean at 95% is: 6861.90 5598.27 7122.99 6773.21

5. The lower the R square is, the better the model will be True False

6. The regression line of X (Average=3.886, St. Dev=0.7344) and Y (Average=6.918, St. Dev=1.1918) for a given dataset is shown below: a | K The predicted z-score of y for X = 6, is: 3.279 2.878 8.898 1.661

7. You are given the descriptive statistics for a dataset such as: Median (6983.43), Mode (-), Sample Variance (1573128.64), Kurtosis (-0.76), Skewness (0.08), Sum (1389620.69), Count (200), t-value at 95% CL (1.972). If the benchmark value is 7200, then the data is: outside the confidence region (right) outside the confidence region (left) Inside the contidence region none of all

8. You are given the descriptive statistics for a dataset such as: Median (6983.43), Mode (, Sample Variance (1573128.64), Kurtosis (-0.76), Skewness (0.08), Sum (1389620.69), Count (200), t-value at 95% CL (1.972). If the results claim that the data is outside the confidence region on the left, what is the limit of the benchmark: 6773.21 7025.11 7122.99 7374.89

9. You are given the descriptive statistics for a dataset such as: Median (6983.43), Mode (, Sample Variance (1573128.64), Kurtosis (-0.76), Skewness (0.08), Sum (1389620.69), Count (200), t-value at 95% CL (1.972). If the results claim that the data is outside the confidence region on the left, what is the limit of the benchmark: 6773.21 7025.11 7122.99 7374.89

10. You are given the descriptive statistics for a dataset such as: Median (54.08). Mode (60.17), Sample Variance (149.79), Kurtosis (-0.21), Skewness (-0.19). Sum (3057.83). Count (56), t-value at 95% CL (2.004): Upper limit for the mean at 95% is: 57.88 59.52 51.33 60.17

11. R square is the proportion of the variation accounted for the regression model against the total variation of the dependent variable True False

12. R square is the proportion of the variation accounted for the residuals against the total variation of the dependent variable True False

13. Increasing the confidence level could lead to conclude that the beta is significant (important) ( True ) False

14. The error margin for each beta is calculated by multiplying the standard error of each coefficient by the t-value True ( False

15. R squared is the percentage of the explained variation in the dependent variable by the independent variables True False

16. You are given the descriptive statistics for a dataset such as : Median(6983.43), Mode (.), Sample variance (1573128.64), Kurtosis (-0.76), Skewness (0.08), Sum (1389620.69), Count (200), t- 88.69 05% 174.89 1.972

17. Regression coefficient is the measure of the relationship between the independent variable and the dependent variable True False

18. You are given the descriptive statistics for a dataset such as: Median (54.08), Mode (60.17), Sample Variance (149.79), Kurtosis (-0.21), Skewness (-0.19), Sum (3057.83), Count (56), t-value at 95% CL (2.004): The Standard Error for the data is: (o 1.64 3.28 2.67 20.02

19. You are given the descriptive statistics for a dataset such as: Median (54.08), Mode (60.17), Sample Variance (149.79), Kurtosis (-0.21), Skewness (-0.19), Sum (3057.83), Count (56), t-value at 95% CL (2.004): If the benchmark value is 51.4, then the data is: outside the confidence region (right) outside the confidence region (left) Inside the confidence region none of all

20. Regression coefficient is the measure of the impact of the dependent variable on the independent variable True False