MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Multiple regression model is one that attempts to predict a dependent variable which is based on the value of two or more independent variables.

Detailed explanation-2: -❖ The variable that researchers are trying to explain or predict is called the response variable. It is also sometimes called the dependent variable because it depends on another variable. ❖ The variable that is used to explain or predict the response variable is called the explanatory variable.

Detailed explanation-3: -The predicted value of y (” “) is sometimes referred to as the “fitted value” and is computed as y ^ i = b 0 + b 1 x i . Below, we’ll look at some of the formulas associated with this simple linear regression method. In this course, you will be responsible for computing predicted values and residuals by hand.

Detailed explanation-4: -Regression analysis is a statistical technique for determining the relationship between a single dependent (criterion) variable and one or more independent (predictor) variables. The analysis yields a predicted value for the criterion resulting from a linear combination of the predictors.