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.

4 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 2 2 4 4 5 Test score, y Find the regression equation. y=x+ X+ C Test score 80- (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. O A. O B. 0- 0 8 Hours studying 40 43 50 49 62 67 OA. 97.5 OB. 55.2 O C. 60.1 P Test score D. not meaningful 80- 0- 0 8 Hours studying O C. Test score (a) x = 3 hours (c) x = 12 hours 80- (a) Predict the value of y for x = 3. Choose the correct answer below. 0- 0 8 Hours studying O D. OA. 55.2 OB. 52.7 O C. 60.1 O D. not meaningful (b) Predict the value of y…

Height, x 772 628 518 508 496 483 stories, y 51 48 44 43 37 35 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. (a) x = 498 feet  (b) x = 640 feet  (c) x = 345 feet  (d) 735 feet Find the regression equation.Now construct a scatter plot of the data and draw the regression line. ​(a) Now use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. Because the correlation between x and y is​ significant, the equation of the regression line can be used to predict​ y-values. However, prediction values are meaningful only for​ x-values in the range of the data.  Begin with x = 498. Since x = 498…

00 HI B T %24 E 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. (a) x = 2 hours (c) x = 15 hours (b) x = 2.5 hours (d) x = 3.5 hours Hours spent studying, x 4 9. 73 3 4. 63 %3D Test score, y 38 44 52 Find the regression equation. %3D (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Enter your answer in the edit fields and then click Check Answer. parts remaining Clear All Check Answer Examplify e Type here to search 近。 +66 Esc F1 PrtScn F2 F3 F4 F5 F7 $ 4 # & 3. 5. 7. N Alt