MCQOPTIONS
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MCQOPTIONS
This section includes 15 Mcqs, each offering curated multiple-choice questions to sharpen your Data Science knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
The least squares estimate for the coefficient of a multivariate regression model is exactly regression through the origin with the linear relationships. |
| A. | True |
| B. | False |
| Answer» C. | |
| 2. |
Which of the following show residuals divided by their standard deviations? |
| A. | rstudent |
| B. | cooks.distance |
| C. | rstandard |
| D. | all of the mentioned |
| Answer» D. all of the mentioned | |
| 3. |
Residual ______ plots investigate normality of the errors. |
| A. | RR |
| B. | PP |
| C. | |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 4. |
Which of the following can be useful for diagnosing data entry errors? |
| A. | hat values |
| B. | dffit |
| C. | resid |
| D. | all of the mentioned |
| Answer» B. dffit | |
| 5. |
Which of the following statement is incorrect with respect to outliers? |
| A. | Outliers can have varying degrees of influence |
| B. | Outliers can be the result of spurious or real processes |
| C. | Outliers cannot conform to the regression relationship |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 6. |
Which of the following things can be accomplished with linear model? |
| A. | Flexibly fit complicated functions |
| B. | Uncover complex multivariate relationships |
| C. | Build accurate prediction models |
| D. | All of the mentioned |
| Answer» E. | |
| 7. |
Which of the following is the correct formula for total variation? |
| A. | Total Variation = Residual Variation – Regression Variation |
| B. | Total Variation = Residual Variation + Regression Variation |
| C. | Total Variation = Residual Variation * Regression Variation |
| D. | All of the mentioned |
| Answer» C. Total Variation = Residual Variation * Regression Variation | |
| 8. |
WHICH_OF_THE_FOLLOWING_SHOW_RESIDUALS_DIVIDED_BY_THEIR_STANDARD_DEVIATIONS_??$ |
| A. | rstudent |
| B. | cooks.distance |
| C. | rstandard |
| D. | all of the Mentioned |
| Answer» D. all of the Mentioned | |
| 9. |
The_least_squares_estimate_for_the_coefficient_of_a_multivariate_regression_model_is_exactly_regression_through_the_origin_with_the_linear_relationships.$ |
| A. | True |
| B. | False |
| Answer» C. | |
| 10. |
Residual ______ plots investigate normality of the errors? |
| A. | RR |
| B. | PP |
| C. | |
| D. | None of the Mentioned |
| Answer» D. None of the Mentioned | |
| 11. |
Multivariate regression estimates are exactly those having removed the linear relationship of the other variables from both the regressor and response. |
| A. | True |
| B. | False |
| Answer» B. False | |
| 12. |
Which of the following can be useful for diagnosing data entry errors ? |
| A. | hat values |
| B. | dffit |
| C. | resid |
| D. | all of the Mentioned |
| Answer» B. dffit | |
| 13. |
Which of the following statement is incorrect with respect to outliers ? |
| A. | Outliers can have varying degrees of influence |
| B. | Outliers can be the result of spurious or real processes. |
| C. | Outliers cannot conform to the regression relationship |
| D. | None of the Mentioned |
| Answer» D. None of the Mentioned | |
| 14. |
Which of the following things can be accomplished with linear model ? |
| A. | Flexibly fit complicated functions |
| B. | Uncover complex multivariate relationships |
| C. | Build accurate prediction models |
| D. | All of the Mentioned |
| Answer» E. | |
| 15. |
Which of the following is correct formula for total variation ? |
| A. | Total Variation = Residual Variation – Regression Variation |
| B. | Total Variation = Residual Variation + Regression Variation |
| C. | Total Variation = Residual Variation * Regression Variation |
| D. | All of the Mentioned |
| Answer» C. Total Variation = Residual Variation * Regression Variation | |