BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Question: In simple regression analysis, the quantity that gives the amount by which Y (dependent variable) changes for a unit change in X (independent variable) is called the correlation coefficient.

Detailed explanation-2: -Y = a + bX a is the intercept. b is the gradient or slope. The slope which is given by b shows the amount by which the value of the variable Y changes due to a unit change in the variable X.

Detailed explanation-3: -The coefficient of determination r2, is equal to the square of the correlation coefficient. When expressed as a percent, r2 represents the percent of variation in the dependent variable y that can be explained by variation in the independent variable x using the regression line.

Detailed explanation-4: -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-5: -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).