Linear regression Machine Learning Multiple Choice Questions

Hello students in this post we will discuss about the linear regression multiple choice questions.which are randomly asked in your syllabus of University. As well as various entrence exams of various courses.

Note : All these notes are taken from the geeksforgeeks

So let’s start the questions which are related to the linear regression

1. Linear Regression is a machine learning algorithm based on _____.

Explain:- Linear Regression is a machine learning algorithm based on supervised learning.

2. Regression models a target prediction value based on _____.

Explain:- Regression models a target prediction value based on independent variables.

3. regression technique finds out a linear relationship between x (input) and y(output) hence it is called as _________.

Explain:- regression technique finds out a linear relationship between x (input) and y(output) hence it is called Linear Regression.

4. In Linear Regression RMSE stands for_________.

Explain:- RMSE stands for Root Mean Squared Error

5.Root Mean Squared error give difference between_________.

ANSWER= B) predict value and true value
Explain:- RMSE stands for Root Mean Squared Error

6.________is an analytical approach to Linear Regression with a Least Square Cost Function..

Explain:- Normal Equation is an analytical approach to Linear Regression with a Least Square Cost Function.

7. Linear Regression is mostly used for finding out the relationship between_____

ANSWER= C) both a and b
Explain:- It is mostly used for finding out the relationship between variables and forecasting

1 Comment

1. Question 4, answer is wrong.