BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Simple linear regression is a regression model that estimates the relationship between one independent variable and one dependent variable using a straight line.

Detailed explanation-2: -True A simple linear regression model is an equation that describes the straight-line relationship between a dependent variable and an independent variable. True The residual is the difference between the observed value of the dependent variable and the predicted value of the dependent variable.

Detailed explanation-3: -The simple linear regression equation is graphed as a straight line, where: 0 is the y-intercept of the regression line. 1 is the slope. (y) is the mean or expected value of y for a given value of x.

Detailed explanation-4: -A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, and a is the intercept (the value of y when x = 0).

Detailed explanation-5: -Regression is said to be linear when the curve drawn from the data is a straight line. It measures the relationship between one dependent variable with one or more independent variables.