In a simple regression model Y =f30 +/31X + a, g represents the 0 error term 0 mean value of X Q slope of the regression line C) intercept Question 2 R Square (R2) is also known as the O coefficient of regression O sample correlation coefficient O coefficient of determination O test statisticQuestion 3 In a simple regression model Y =f50 +f31X + a, [31 represents the Q error term 0 mean value of X C) intercept Q slope of the regression line Question 4 A prediction interval for the independent variable X would specify 0 the uncertainty in the dependent variable for a single value of X Q all the possible values of the dependent variable Y O the probability distribution for the various values of X 0 all the possible values of X Question 5 1 pt How is the significance of regression tested? O by checking the absolute value of the coefficient of the dependent variable O by testing whether the intercept term is greater than or equal to 1 O by testing whether the slope of the independent variable is zero O by checking the sum of the squares of the residuals for statistical significanceQuestion 6 1 pts The regression equation = 3,698 + 2,538X gives an R2 value of0.2645. This means that Q a onepercent change in Y will lead to a 26.45% change in X 0 26.45% of the variation in Y can be explained by X Q the percentage of variation in Y that is attributed to random factors is 26.45% C) X and Y have a very high level of correlation Question 7 indicates the strength of association between the dependent and independent variables in multiple regression. O Standard error O R square O ANOVA O Variance inflation factor