R Programming Questions and Answers – Linear Regression – 3

This set of R Programming Language Multiple Choice Questions & Answers (MCQs) focuses on “Linear Regression – 3”.

1. ________ is an incredibly powerful tool for analyzing data.
a) Linear regression
b) Logistic regression
c) Gradient Descent
d) Greedy algorithms
View Answer

2. 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
View Answer

3. 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
View Answer

4. 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
View Answer

5. Analysis of variance in short form is?
a) ANOV
b) AVA
c) ANOVA
d) ANVA
View Answer

6. ________ 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
View Answer

7. 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
View Answer

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
View Answer

9. The parameter β0 is termed as intercept term and the parameter β1 is termed as slope parameter. These parameters are usually called as _________
a) Regressionists
b) Coefficients
c) Regressive
d) Regression coefficients
View Answer

10. 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
View Answer

11. ______ regression method is also known as the ordinary least squares estimation.
a) Simple
b) Direct
c) Indirect
d) Mutual
View Answer

12. __________ 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
View Answer

13. 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
View Answer

14. What do we do the curvilinear relationship in linear regression?
a) consider
b) ignore
c) may be considered
d) sometimes consider
View Answer

15. 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
View Answer

Sanfoundry Global Education & Learning Series – R Programming Language.

Here’s the list of Best Books in R Programming Language .

If you find a mistake in question / option / answer, kindly take a screenshot and email to [email protected]