Linear Regression Quiz

Linear Regression Quiz

University

13 Qs

quiz-placeholder

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Linear Regression Quiz

Linear Regression Quiz

Assessment

Quiz

Computers

University

Medium

Created by

Neeraj Baghel

Used 2+ times

FREE Resource

13 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the equation for linear regression?

y = b0 + b1x

y = mx + c

y = ax^2 + bx + c

y = ex

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal of linear regression?

To find the relationship between variables and predict values.

To cluster data points into groups.

To calculate the distance between data points.

To identify non-linear relationships in data.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the method of updating b0 and b1 values in Gradient Descent?

Multiplication of errors.

Iterative optimization of weights.

Random sampling of data points.

Statistical hypothesis testing.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal of Polynomial Regression?

To fit a linear relationship between the variables.

To fit a polynomial relationship between the variables.

To group data into clusters.

To minimize data variability.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between Ridge Regression and Lasso Regression?

Ridge regression minimizes absolute coefficients, while Lasso eliminates some coefficients.

Ridge regression is used for non-linear relationships, Lasso for linear ones.

Ridge regression uses a quadratic penalty, Lasso uses an absolute penalty.

Both are identical in terms of regularization.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Mean Absolute Error (MAE)?

The average of the difference between the original and predicted values.

The mean of squared differences of actual and predicted values.

The mean of root squared differences between actual and predicted values.

The sum of squared differences between data points and the mean of the response variable.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main disadvantage of Mean Absolute Error (MAE)?

It is not differentiable.

It is sensitive to outliers.

It gives the direction of the error.

It is easy to interpret.

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