Question

In: Statistics and Probability

find the equation of the regression line for the given data. then construct a scatter plot...

find the equation of the regression line for the given data. then construct a scatter plot if the data and draw a regression line. then use the regression equation to predict the value of y for each of the given x values m, if meaningful.

x= 778, 621, 519, 510, 494, 473
y= 51, 47, 44, 43, 39, 37

y=____x + _______

predict the value y for x= 499
"                                      " x= 642
"                                      " x= 802
"                                      " x= 730

Solutions

Expert Solution

The regression equation is y= 0.04*x + 20.617

Value of y corresponding to x = 499 is

y = 0.04*499 + 20.617

y = 40.577

Value of y corresponding to x = 642 is

y = 0.04*642 + 20.617

y = 46.297

Value of y corresponding to x = 802 is not meaningful (Because x = 802 is outside the data range)

Value of y corresponding to x = 730 is

y = 0.04*730 + 20.617

y = 49.817


Related Solutions

Find the equation of the regression line for the given data. Then construct a scatter plot...
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 pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height : 772, 628, 518, 508, 496, 483, y:...
Find the equation of the regression line for the given data. Then construct a scatter plot...
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 pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city. Height comma x 762 621 515 508 491 480...
Find the equation of the regression line for the given data. Then construct a scatter plot...
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 pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city. Height comma xHeight, x 766766 620620 520520 508508 494494...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. font size decreased by 1 font size increased by...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. font size decreased by 1 font size increased by...
Find the equation of the regression line for the given data. Then construct a scatter plot...
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 pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. font size decreased by 1 font size increased by 1...
Find the equation of the regression line for the given data. Then construct a scatter plot...
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 pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city. Height comma x 775 619 519 508 491 474...
Find the equation of the regression line for the given data. Then construct a scatter plot...
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 pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x: 0, 1, 2, 4, 5, 6...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. Calories, x 160 180 120 120 80 190 ​(a)...
Find the equation of the regression line for the given data. Then construct a scatter plot...
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 pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city. Height comma xHeight, x 774774 625625 521521 508508 497497...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT