ind 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 5   ​(a) x=3 hours ​(b) x=4.5 hours Test​ score, y 40 43 51 48 64 73   ​(c) x=14 hours ​(d) x=3.5 hours

The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 40 inches. Is the result close to the actual weight of 352 pounds? Use a significance level of 0.05. Chest size (inches) *Weight (pounds) 44 54 328 528 41 55 39 51 418 580 296 503 Click the icon to view the critical values of the Pearson correlation coefficient r. - What is the regression equation? x (Round to one decimal place as needed.)

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…

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 3 4 5 6   ​(a) x=3 hours ​(b) x=2.5 hours Test​ score, y 40 44 52 49 62 70   ​(c) x=15 hours ​(d) x=1.5 hours       Question content area bottom Part 1 Find the regression equation.   y=enter your response herex+enter your response here ​(Round the slope to three decimal places as needed. Round the​ y-intercept to two decimal places as​ needed.)