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 regressionOC. 591.343O D. not meaningful(b) Predict the value of y for x = 90. Choose the correct answer below.OA. 591.343OB. 390.863OC. 265.563O D. not meaningful(c) Predict the value of y for x = 140. Choose the correct answer below.OA. 390.863OB. 440.983OC. 265.563O D. not meaningful(d) Predict the value of y for x = 220. Choose the correct answer below.OA. 440.983OB. 591.343OC. 265.563O D. not meaningfulD 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 regressionequation 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.170480Calories, xSodium, y560Find the regression equation.ŷ=x+(Round to three decimal places as needed.)Choose the correct graph below.OA.0ff0200150430Calories130320a130380O B.560080250200 GCalories(a) Predict the value of y for x = 160. Choose the correct answer below.OA. 390.863OB. 440.983OC. 591.343O D. not meaningful(b) Predict the value of y for x = 90. Choose the correct answer below.190510(a) x(c) x160 calories140 caloriesO C.A560+0-T0200Calories(b) x = 90 calories(d) x = 220 caloriesOD.560-0200CaloriesQ

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Answered: Find the equation of the regression…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Find the regression equation (rounding values to 2 places), letting the first variable be the independent variable x.Use the regression equation values to find the best predicted gross amount for a movie with a budget of 69 million dollars. Hint: Use the exact regression values to find an accurate predicted value and then round your answer.In the table below, all amounts are in millions of dollars. Budget 95 195 80 89 92 92 86 83 Gross 60 599 57 47 66 65 55 62 y = ? +? x y69 =?
Find the explanation variation for the paired data. The equation of the regression line for the paired data below is y = 3x. Find the explained variation.
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 1 2 2 4 5 5 Test score, y 39 45 50 49 63 73 (a) x=2hours (b) x=2.5hours (c) x=14hours (d) x=3.5hours 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.)
Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. r=0.853
7. 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 table shows the shoe size and heights (in.) for 6 men. Shoe size, x Height, y 6.0 65.5 7.0 68.5 9.0 12.0 12.5 74.5 13.0 72.5 70.5 73.5 Find the regression equation. y = (Round to three decimal places as needed.) X+ Choose the correct graph below. O A. OB. OC. OD. 75- 75- 14 Shoe size Shoe size Shoe size Shoe size Height(in.) Height (in.) Height(in.)
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 775 619 519 508 (a) x= 501 feet (c) x=318 feet 491 474 (b) x = 651 feet (d) x= 729 feet 53 47 45 43 38 37 Find the regression equation. (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $2 million. Is the result close to the actual number of viewers, 5.1 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) 101 8 8 3 12 12 8 5.5 7.4 6.8 4.7 5.6 6.6 2.3 9.1 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=+x (Round to three decimal places as needed.) What is the best predicted number of viewers for a television star with a salary of $2 million? The best predicted number of viewers for a television star with a salary of $2 million is million. (Round to one decimal place as needed.) Is the result close to the actual number of viewers, 5.1 million? O A. The result is exactly the same as the actual number of viewers of 5.1 million. O B.…
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 40inches. Is the result close to the actual weight of 352pounds? Use a significance level of 0.05.a. Chest size (inches) 41 54 44 55 39 51 Weight (pounds) 328 528 418 580 296 503 a.What is the regression equation? b. The best predicted weight for a bear with a chest size of 39 inches is _______pounds.
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 58 inches. Is the result close to the actual weight of 572 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 40 40 Weight (pounds) 384 580 542 358 306 320 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=nothing+nothingx (Round to one decimal place as needed.)
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 775 619 519 508 491 474 (a) x=503 feet (b) x=644 feet Stories, y 53 47 44 42 39 38 (c) x=798 feet (d) x=734 feet
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Find the regression line (even if there isn't correlation in the population) Write the meaning of the slope of the regression line: Find the best predicted score a wife would have, if her husband scored 50:

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