A data set consists of the following data points:(3, 5), (5, 8), (6, 13)The line of best fit has the equation y = 2.5x – 3. What does this equation predict for a value of x = 3?A.7.5B.6C.9D.4.5

Fitting a straight line to a set of data yields the following prediction line.Complete(a)through(c)below. Y1=9+3X a.Interpret the meaning of the Y-intercept,bo.Choose the correct answer below. OA.The Y-intercept,bo=9,implies that the average value of Y is 9. OB.The Y-intercept,bo=9,implies that when the value of X is 0,the mean value of Y is 9. C.The Y-intercept,bo=3,implies that when the value of X is 0,the mean value of Y is 3. OD.The Y-intercept,bo=9,implies that for each increase of 1 unit in X,the value of Y is expected to increase by 9 units.

Instructions: Determine the equation of line of best fit for the data. Write your equation in y=𝑦= form. Do NOT include spaces in your answer.x𝑥y𝑦2244557710101212131315151515171720202222Equation:

Given the line of best fit for a set of data points with the equation y = 5x – 2.5, what is the residual for the point (4, 13)?A.13B.4.5C.–13D.–4.5

Find the regression line associated with the set of points. (Round all coefficients to four decimal places.)(5, 7), (7, 11), (11, 15), (13, 3)y(x) = −0.1786x+9.9643 Graph the data and the best-fit line. (Select Update Graph to see your response plotted on the screen. Select the Submit button to grade your response.)

(1,2),(2,3),(3,4),(4,5),(5,6)We want to find the line 𝑦=𝑚𝑥+𝑐y=mx+c that best fits these data points in the least squares sense, where 𝑚m is the slope and 𝑐c is the y-intercept.