MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Linear regression is a very powerful and common method to estimate values, such as the price of a house, the value of a certain stock, the life expectancy of an individual, the amount of time a user will watch a video or spend in a website, etc.

Detailed explanation-2: -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.

Detailed explanation-3: -Formulating a regression analysis helps you predict the effects of the independent variable on the dependent one. Example: we can say that age and height can be described using a linear regression model. Since a person’s height increases as age increases, they have a linear relationship.

Detailed explanation-4: -The principle of regression states that the value of a more expensive property will decrease when less expensive properties come into the area. Thus, if your home is worth $500, 00 and it is surrounded by $100, 000 homes, the value of your property will go down.

Detailed explanation-5: -Multiple Linear Regression To create a linear model that quantitatively relates house prices with variables such as number of rooms, area, number of bathrooms, etc. To know the accuracy of the model, i.e. how well these variables can predict house prices.