Q1. True-False: Linear Regression is a supervised machine learning algorithm.

True

False

Q2. True-False: It is possible to design a Linear regression algorithm using a neural network?

True

False

Q3. Which of the following methods do we use to find the best fit line for data in Linear Regression?

Least Square Error

Maximum Likelihood

Logarithmic Loss

Both A and B

Q4. Which of the following evaluation metrics can be used to evaluate a model while modeling a continuous output variable?

AUC-ROC

Accuracy

Log Loss

Mean-Squared Error

Q5. True-False: Lasso Regularization can be used for variable selection in Linear Regression.

True

False

Q6. Which of the following is true about Residuals?

Lower is better

Higher is better

A or B depend on the situation

None

Q7. Suppose that we have N independent variables (X1,X2… X_{n}) and the dependent variable is Y.

Now Imagine that you are applying linear regression by fitting the best fit line using least square error on this data. You found that correlation coefficient for one of it’s variable(Say X1) with Y is -0.95. Which of the following is true for X1?

Relation between the X1 and Y is weak

Relation between the X1 and Y is strong

Relation between the X1 and Y is neutral

Correlation can’t judge the relationship

Q8. Looking at below two characteristics, which of the following option is the correct for Pearson correlation between V1 and V2?

If you are given the two variables V1 and V2 and they are following below two characteristics. 1. If V1 increases then V2 also increases 2. If V1 decreases then V2 behavior is unknown

Pearson correlation will be close to 1

Pearson correlation will be close to -1

Pearson correlation will be close to 0

Cannot say

Q9. Suppose Pearson correlation between V1 and V2 is zero. In such case, is it right to conclude that V1 and V2 do not have any relation between them?

True

False

Q10. Which of the following offsets, do we use in linear regression’s least square line fit? Suppose horizontal axis is independent variable and vertical axis is dependent variable?

Vertical offset

Perpendicular offset

Both, depending on the situation

None

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