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. 625 520 510 492 Height, x Stories, y 764 55 484 35 (a) x=499 feet (c)x=315 feet (b)x=650 feet (d) x=732 feet 47 45 42 37 Find the regression equation. y=x+ (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. OA. OB. O D. Q ++ Hot Q Height (feet) (a) Predict the value of y for x=499. Choose the correct answer below. OA. 39 OB. 49 OC. 54 O D. not meaningful A) PR 60- 04 0 800 60+ 0 Height (feet) 800 O C. 60+ 800 0 Height (feet) 60+ 0 Height (feet) 800

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.     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 3 5 5       Test​ score, y 38 45 52 49 61 73     ​ (a)x= 2 hours (b)x=4.5 hours (c)x=13 hours (d)2.5 hours    Find the regression…

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, x Stories, y 762 51 621 46 515 45 508 42 491 39 480 36 (a) x = 502 feet (c) x = 315 feet Find the regression equation. ŷ=x+ (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) (b) x = 645 feet (d) x = 731 feet

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 150 180 130 120 90 190   ​(a) x=160 calories ​(b) x=100 calories ​Sodium, y 430 480 320 360 290 550   ​(c) x=140 calories ​(d) x=50 calories       Find the regression equation.   y=nothingx+​(nothing​) ​(Round to three decimal places as​ needed.) Choose the correct graph below.     A.         02000560CaloriesSodium (mg)         A scatterplot has a horizontal axis labeled "Calories" from 0 to 200 in increments of 20 and a vertical axis labeled "Sodium (in milligrams)" from 0 to 560 in increments of…