I attempted the questions and got some incorrect, please assist with all of the listed ones. Number 2,4,5 is response question

15 /18 81) value of Slope = Sy R SX 1b/ (047/32) = 5. (0.732) 2 3. 46 6 slope 8 2) x = weight y = gender First of all, regression analysis is a tool to investigate how two or more variable are related. Correlation on the other hand, are indicator of the strength of the linear relationship between two different variable, y and y. Therefore this is not possible to calculate a regression correlation coltficent between x which is the weight and y which is gender because the regression line models the trend of the given data and, it doesn't have a relationship. And it is not known if the trend continuous beyond the range of those data. 83) In y = In (x ) + 0. 124 y = en (x ) + 0. 124 ex = pl. 223 When * = 3 1 4 = ? 3. 397 V = In ( 3 ) + 0. 124 1- 3.397 =-2.397 = 1.098612 + 0. 124 = 1.222412 Or 1- 1. 222612 5 = -0.222412Andrea Ramirez | she, hers jano The variable on the x- axis is ( years of schooling) educational Attainment The variable on the y-axis is the Income indie Anesidual plot shows difference between observed and fitted dependent variable values . 5 V = 4200x - 1500 y = mx+b where m= 4200 is the Asrope of Regression line . It is the change of y one unit income in x . K O M y = ( 4200 * 16 ) - 1500 = 45700 is the income for 16 years of Schooling. r = 0.90 R= = 1 2 = (0.90) = 0.81, = 81% 0. 81 is the proportion of variation in the dependent variable that is predicted by the regression line, Besides, we know dependent variable is the Income This shows that there is a strong correlation yo01. What is value of the slope of the regression line if Sy = 10 units and S): = 2 units and r = .732? C12. Why is it not possible to calculate a regression correlation coefficient between X = weight and Y = gender? Why is it possible to calculate a regression correlation coefficient between X = weight and Y = height? 03. A regression was performed and the regression line is |n(Yhat) = ln(X) + 0.124. What is Y-hat (Y predicted) for X = 3? What is the value of the residual if the ordered pair (3, 1) is in the original set of data? 04. A scatter plot of the data indicates a strong, positive, linear relationship between Educational Attainment (Years of Schooling) by age 30 (X) and Income ($) at age 30 (Y). You perform the regression and create the residual plot. What variable/measure is on the Xaxis of this plot? What variable or measure is on the Yaxis of this plot? What do you expect to find when you examine the residual plot? 05. The equation of the regression line for C14 is Yhat = 4200)( 1500. Interpret the slope ofthe regression line. What is Y-hat for X = 16 years (college graduate)? Q6. Assume that r = .90 for Q4 and Q5. Interpret RAZ in the context of this