Linear regression

Question 1

What is linear regression in ML?

Answer 1

Linear regression is a statistical method used to model the relationship between one or more input

Question 2

What is one key feature that make linear regression for predicting outcomes

Answer 2

It provides simple and interpretable model by fitting a straight line to the data, showing how changes inputs affect the output

Question 3

What is another key feature of linear regression

Answer 3

Use co efficiency to quantify the impact of each input feature, making it useful for understand outcomes

Question 4

How does linear regression make predictions

Answer 4

Uses linear equations like (y = mx + b) to calculate the output value based on input value and learned weight

Question 5

Example on how linear regression can be used in practice

Answer 5

Can predict house prices based on feature like size location and number of bedrooms