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 xvalues, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below.
Hours spent studying comma xHours spent studying, x 
0 
2 
2 
3 
5 
6 
(a)
x=2hours 
(b)
x=3.5hours 


Test score, y 
39 
43 
51 
47 
64 
70 
(c)
x=12hours 
(d)
x=1.5hours 
Find the regression equation.
y^= _x+ (_)
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 xvalues, 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 2 5 5 (a) x =...
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 vaiables have a significant correlation ) Then use the regression equation to predict the value of y for each of the given xvalues, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below (a) x 2 hours (c)x15 hours (b) x =...
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 xvalues, 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 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 xvalues, if meaninglul. The number of hours 6 students spent for a test and their scores on that test are shown below irs 6 students spent spent studyingx (a) x 2 hours...
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 significa correlation.) Then use the regression equation to predict the value of y for each of the given xvalues, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x 758 621 518 510 492 483 (a)...
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 variaties have a significant correlation) Then use the regression equation to predict the value of yo each of the given xvalues, if meaningful. The table below shows the height in feet) and the number of stories of six notable buildings in a city Heights 772 5110 503 483 Stories 51 (a)x= 501 foot...
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 xvalues, 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 764 625 520 510 492...
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 xvalues, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. (a) x=3hours (b) x=4.5hours (c) x=14hours (d) x=2.5hour Find the...
519 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 xvalues, if meaningful The table below shows the heights (in feet) and the number of stories of six notable buildings in a city Height, 778 621 510 494 473 (a) x...
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 xvalues, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. (a)x=180 (b)x=90 (c)x=120 (d)x=50 Calories, x Sodium, y 150 ...