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 _____.

ANSWER= B) supervised learning Explain:- Linear Regression is a machine learning algorithm based on supervised learning.

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

A) dependent variable B) independent variables C) independent value D) dependent value

ANSWER= B) independent variables 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 _________.

A) Hypothesis function B) Related regression C) Linear Regression D) none of these

ANSWER= C) Linear Regression 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_________.

A) Root Mean Squared Error B) Read Mean Squared Error C) Root Mode Squared Error D) none of these

ANSWER= B) Read Mean Squared Error Explain:- RMSE stands for Root Mean Squared Error

5.Root Mean Squared error give difference between_________.

A) orignal value and wrong value B) predict value and true value C) True value and false value D) none of these

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..

A) Slope Equation B) Variable equation C) Normal Equation D) none of these

ANSWER= C) Normal Equation 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_____

A) forecasting B) variables C) both a and b D) none of these

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

Question 4, answer is wrong.