Complete parts (a) through (c) using the following data Row 1 Row 2 90 69 75 90 (a) Find the equation of the regression line for the given data, letting Row 1 represent the x-values and Row 2 the y-values. Sketch a scatter plot of the data and draw the regression line. Input the values of the slope and intercept for the regression line when Row 1 represents the x-values. y = (Round to three decimal places as needed.) Construct a scatter plot of the data and draw the regression line. Plot Row 1 on the horizontal axis and Row 2 on the vertical axis. Choose the correct graph below. O A. OB. OC. OD. (b) Find the equation of the regression line for the given data, letting Row 2 represent the x-values and Row 1 the y-values. Sketch a scatter plot of the data and draw the regression line. Input the values of the slope and intercept for the regression line when Row 2 represents the x-values. y= _x+ (Round to three decimal places as needed.) Construct a scatter plot of the data and draw the regression line. Plot Row 2 on the horizontal axis and Row 1 on the vertical axis. Choose the correct graph below. OA. OB. Oc. OD. (c) What effect does switching the explanatory and response variables have on the regression line? O A. The value of m is unchanged, but the sign of m and value of b change. OB. The sign and value of m is unchanged, but the value of b changes. OC. The value of b is unchanged, but the sign and value of m change. OD. The sign of m is unchanged, but the values of m and b change. O E. The sign and value of m and the value of b all change. OF Nothing changes.

Use the given data to find the equation of the regression line. Round the final values to three significant​ digits, if necessary.   A horizontal table lists x-values in the first row and y-values in the second row. The x-values are as follows from left to right: 6, 8, 20, 28, and 36. The y-values are as follows from left to right: 2, 4, 13, 20, and 30.   A.  y with caret= −2.79 + 0.897x   B. y with caret = −3.79 + 0.801x   C.  y with caret= −2.79 + 0.950x   D. y with caret = −3.79 + 0.897x

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The table shows the amounts of crude oil (in thousands of barrels per day) produced by a certain country and the amounts of crude oil (in thousands of barrels per day) imported by the same country for seven years. The equation of the regression line is y =-1.364x+17,178.20. Complete parts (a) and (b) below. Produced, x Imported, y 5,744 5,554 5,439 5,188 5,136 5,067 D 9,132 9,677 10,017 10,193 10,149 10,075 5,756 9,328 (a) Find the coefficient of determination and interpret the result. (Round to three decimal places as needed.)

Use the given data set to answer parts (a) and (b). a. Find the regression equation for the data points. X 5 b. Graph the regression equation and the data points. y -1 10 -10 y B. 10 -10- C. a. Find the regression equation for the data points. ŷ-0 (Use integers or decimals for any numbers in the expression. Round to two decimal places as needed.) b. Graph the regression equation and the data points. O A. 10 T -10- 1 2 -1 3 327 D. -10 4 y 4 28 0

a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (2,3)​, use the pairs of values for the remaining 9 points and find the equation of the regression line. c. Compare the results from parts​ (a) and​ (b).

Using the weights (Ib) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58 9-0.00749x, where x represents weight Complete parts (a) through (d). Click the icon to view the car data. 東 b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is 0.007499. B. The slope is -0.00749 and the y-intercept is 58.9. O C. The slope is 58.9 and the y-intercept is -0.00749. O D. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? O A. The predictor variable is highway fuel consumption, which is represented by x. B. The predictor variable is weight, which is represented by x. O C. The predictor variable is weight, which is represented by y O D. The predictor variable is highway fuel consumption, which is represented by y. d. Assuming that there is a significant linear correlation between weight and highway fuel…

Use the regression capabilities of a graphing calculator to find the equation for the line of best fit for the following points. Round decimals off to the nearest hundredth. x y 1 9 2 8 3 8 4 5 5 6 6 4 7 2 Note: "y =" is already written  fill in the right side of the equation only y =

Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. The table shows the shoe size and heights (in.) for 6 men. Shoe size, x Height, y Find the regression equation. ŷ=x+ (Round to three decimal places as needed.) Choose the correct graph below. O A. Height (in.) 75+ 65- 8 Shoe size N O B. Height (in.) 75+ 65+ 8.5 65.0 Shoe size 9.5 66.0 o 11.0 67.0 O C. Height (in.) 75 65 8 Shoe size 12.0 73.0 Q 13.0 71.0 D. Height (in.) 75- 65 13.5 73.0 Shoe size Q o

Use the regression capabilities of a graphing calculator to find the equation for the line of best fit for the following points. Round decimals off to the nearest hundredth. 1 9 2 8 3 8 4 5 5 6 4 7 2 Note: "y =" is already written - fill in the right side of the equation only y =