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.

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

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.

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:

How is the y-intercept of the line of best fit calculated using the least squares method?Select one:a.By dividing the mean of the y values by the slopeb.By subtracting the slope from the mean of the y valuesc.By dividing the sum of the product of the x values and the y values by the sum of the x valuesd.By dividing the sum of the y values by the number of data points

Imagine a straight line through your data. Does the intercept of that line match what you would expect? Explain your reasoning.