MCQOPTIONS
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MCQOPTIONS
This section includes 15 Mcqs, each offering curated multiple-choice questions to sharpen your R Programming knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
When hypothesis tests and confidence limits are to be used, the residuals are assumed to follow the __________distribution. |
| A. | Formal |
| B. | Mutual |
| C. | Normal |
| D. | Abnormal |
| Answer» D. Abnormal | |
| 2. |
What do we do the curvilinear relationship in linear regression? |
| A. | consider |
| B. | ignore |
| C. | may be considered |
| D. | sometimes consider |
| Answer» C. may be considered | |
| 3. |
In order to calculate confidence intervals and hypothesis tests, it is assumed that the errors are independent and normally distributed with mean zero and _______ |
| A. | Mean |
| B. | Variance |
| C. | SD |
| D. | KNN |
| Answer» C. SD | |
| 4. |
__________ refers to a group of techniques for fitting and studying the straight-line relationship between two variables. |
| A. | Linear regression |
| B. | Logistic regression |
| C. | Gradient Descent |
| D. | Greedy algorithms |
| Answer» B. Logistic regression | |
| 5. |
______ regression method is also known as the ordinary least squares estimation. |
| A. | Simple |
| B. | Direct |
| C. | Indirect |
| D. | Mutual |
| Answer» C. Indirect | |
| 6. |
The sum of squares of the difference between the observations and the line in the horizontal direction in the scatter diagram can be minimized to obtain the estimates is generally called? |
| A. | reverse regression method |
| B. | formal regression |
| C. | logistic regression |
| D. | simple regression |
| Answer» B. formal regression | |
| 7. |
The parameter 0 is termed as intercept term and the parameter 1 is termed as slope parameter. These parameters are usually called as _________ |
| A. | Regressionists |
| B. | Coefficients |
| C. | Regressive |
| D. | Regression coefficients |
| Answer» E. | |
| 8. |
When there are more than one independent variables in the model, then the linear model is termed as _______ |
| A. | Unimodal |
| B. | Multiple model |
| C. | Multiple Linear model |
| D. | Multiple Logistic model |
| Answer» D. Multiple Logistic model | |
| 9. |
Although it may seem overly simplistic, _______ is extremely useful both conceptually and practically. |
| A. | Linear regression |
| B. | Logistic regression |
| C. | Gradient Descent |
| D. | Greedy algorithms |
| Answer» B. Logistic regression | |
| 10. |
________ is a simple approach to supervised learning. It assumes that the dependence of Y on X1, X2, . . . Xp is linear. |
| A. | Linear regression |
| B. | Logistic regression |
| C. | Gradient Descent |
| D. | Greedy algorithms |
| Answer» B. Logistic regression | |
| 11. |
Analysis of variance in short form is? |
| A. | ANOV |
| B. | AVA |
| C. | ANOVA |
| D. | ANVA |
| Answer» D. ANVA | |
| 12. |
What is predicting y for a value of x that is within the interval of points that we saw in the original data called? |
| A. | Regression |
| B. | Extrapolation |
| C. | Intra polation |
| D. | Polation |
| Answer» D. Polation | |
| 13. |
Predicting y for a value of x that s outside the range of values we actually saw for x in the original data is called ___________ |
| A. | Regression |
| B. | Extrapolation |
| C. | Intra polation |
| D. | Polation |
| Answer» C. Intra polation | |
| 14. |
The square of the correlation coefficient r 2 will always be positive and is called the ________ |
| A. | Regression |
| B. | Coefficient of determination |
| C. | KNN |
| D. | Algorithm |
| Answer» C. KNN | |
| 15. |
________ is an incredibly powerful tool for analyzing data. |
| A. | Linear regression |
| B. | Logistic regression |
| C. | Gradient Descent |
| D. | Greedy algorithms |
| Answer» B. Logistic regression | |