Hey all. Can someone help me with the following problem: Find the equation of th

Question

Hey all. Can someone help me with the following problem: Find the equation of the regression line for the given data.Then construct a scatter plot of the data and draw the regressionline (Each pair of variables has a significant correlation.) Thenuse the regression equation to predict the value of y for each ofthe given x-values. If the x-value is not meaningful to predict thevalue of y, explain why not. Braking Distances: Wet Surface The weights(in pounds of eight vehicles and the variability of their brakingdistances (in feet) when stopping on a wet surface. Weight x, 5720, 4050, 6130, 5000, 5010, 4270, 5500, 5550 Variability in breaking distance in y, 3.78, 2.43, 4.63, 2.88,3.25, 2.76, 3.42, 3.51 a. x= 4800 pounds b. x= 5850 pounds c. x= 4075 pounds d. x= 3000 pounds Hey all. Can someone help me with the following problem: Find the equation of the regression line for the given data.Then construct a scatter plot of the data and draw the regressionline (Each pair of variables has a significant correlation.) Thenuse the regression equation to predict the value of y for each ofthe given x-values. If the x-value is not meaningful to predict thevalue of y, explain why not. Braking Distances: Wet Surface The weights(in pounds of eight vehicles and the variability of their brakingdistances (in feet) when stopping on a wet surface. Weight x, 5720, 4050, 6130, 5000, 5010, 4270, 5500, 5550 Variability in breaking distance in y, 3.78, 2.43, 4.63, 2.88,3.25, 2.76, 3.42, 3.51 a. x= 4800 pounds b. x= 5850 pounds c. x= 4075 pounds d. x= 3000 pounds

Explanation / Answer

all of the work can be done on a graphing calculator. first, toplot the data points, you go to [Stat] and under Edit select the1st button to edit. Then it'll take you to a blank chart. under L1,enter your x-values and under L2 enter your y-values. To see ascatter plot, press [2nd][Y=] and for Plot 1 select it and turn iton. make sure it is a scatter plot and that the xlist is L1 and theY-list is L2. To find the line of regression, go back to the [Stat] button andthen move the cursor to the right to highlight [Calc]. the 4thoption should be LinReg(ax+b). from there it should give you theline of regression: y = 0.0008915x - 1.262. once you know this youcan calculate your y-values a. x = 4800, y=3.0172 b. x=5850, y= 3.953 c. x = 4075, y = 2.3709 d. x = 3000, y= 1.4125

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