MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Also called simple regression or ordinary least squares (OLS), linear regression is the most common form of this technique. Linear regression establishes the linear relationship between two variables based on a line of best fit.

Detailed explanation-2: -For example, it can be used to predict the relationship between reckless driving and the total number of road accidents caused by a driver, or, to use a business example, the effect on sales and spending a certain amount of money on advertising. Regression is one of the most common models of machine learning.

Detailed explanation-3: -What is regression? Regression analysis is a common technique in market research which helps the analyst understand the relationship of independent variables to a dependent variable. More specifically it focuses on how the dependent variable changes in relation to changes in independent variables.

Detailed explanation-4: -Regression is a return to earlier stages of development and abandoned forms of gratification belonging to them, prompted by dangers or conflicts arising at one of the later stages. A young wife, for example, might retreat to the security of her parents’ home after her first quarrel with her husband. 5.