The slope of a regression line represents:a.The average change in the dependent variable for a unit change in the independent variableb.The intercept of the regression linec.The correlation coefficient between the variablesd.The residual value in regression analysis

In a simple regression analysis, the slope represents:A.The estimated value of the dependent variable (Y) when X is zero.B.The point where the regression line intersects the Y-axis.C.The strength of the linear relationship between X and Y.D.The expected change in the dependent variable (Y) for a one-unit change in the independent variable (X).

What does the term 'residual' mean in linear regression?Review LaterDifference between an observed value and its corresponding predicted valueThe slope of the regression lineA variable that is not included in the modelThe intercept of the regression line

What does a negative slope in a regression line indicate?As the independent variable increases, the dependent variable remains constant.As the independent variable increases, the dependent variable also increases.As the independent variable decreases, the dependent variable increases.As the independent variable increases, the dependent variable decreases

How is the intercept of the regression line calculated when regressing X on Y? Mean of X - (slope * Mean of Y) Mean of Y - (slope * Mean of X) Slope divided by Mean of X. Slope multiplied by Mean of Y.

Question 21Which of the following statements about the regression line is not correct?1 pointTheconstant indicates the place where the regression line crosses the Y-axis. The regression line is the line of which the sum of the residuals is the smallest.The regression line can run horizontally.The regression coefficient is the change in the Y value with 1 unit increase in the X value.