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 regressionequation 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, xDTest score, yTest score80-0-EHours studyingQ039Find the regression equation.ŷ=x+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.G244OB.350Test score80-#R0348Hours studying(a) Predict the value of y for x=2. Choose the correct answer below.OA. 49.8OB. 47.0OC. 55.5OD. not meaningful(b) Predict the value of y for x=3.5 Choose the correct answer below.465Q670wwxO C.Test score80+(a) x=2 hours(c) x = 15 hours8Hours studyingQQO D.80-(b)x= 3.5 hours(d) x=2.5 hours8Hours studying 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 regressionequation 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, xTest score, y039244(b) Predict the value of y for x = 3.5. Choose the correct answer below.OA. 121.1OB. 47.0OC. 49.8OD350OA. 49.8OB. 55.5O C. 121.1OD. not meaningful(c) Predict the value of y for x = 15. Choose the correct answer below.not meaningfulOA. 55.5OB. 121.1OC. 47.0OD. not meaningful(d) Predict the value of y for x = 2.5. Choose the correct answer below.348465670(...)(a) x=2 hours(c) x = 15 hours(b) x = 3.5 hours(d) x = 2.5 hours

Hours spent studying x Test score y 0 39 2 44 3 50 3 48 4 65 6 70

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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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 number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x 0 Test score, y 38 Find the regression equation. 2 3 3 4 6 45 50 49 61 68 0 (a) x = 2 hours (c) x = 15 hours (b)x=4.5 hours (d) x=2.5 hours y = X + (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places 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 number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x Test score, y 2 3 4 (a) x = 2 hours (b) x = 4.5 hours 39 43 51 49 61 71 (c) x = 14 hours (d) x = 3.5 hours Find the regression equation. ý =x+ (O (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. OC. OD. 80- 80- Hours studying Hours studying Hours studying Hours studying (a) Predict the value of y for x = 2. Choose the correct answer below. O A. 47.0 О В. 63.0 О С. 56.6 O D. not meaningful (b) Predict the value of y for x = 4.5. Choose the correct answer below. O A. 63.0 О В. 124.1 O…
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 (а) х %3D 503 feet (c) x = 321 feet (b) x = 645 feet (d) x = 726 feet 775 619 519 508 491 474 53 47 45 41 38 36 Find the regression equation. x+ (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
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You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the rí value. The regression equation is reported as y = - 38.57x + 35.79 and the r2 = 0.4096. What is the correlation coefficient for this data set? r =
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 A 60- 0 775 53 Q 619 47 519 46 OB. 508 42 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. Q. A. 60 0 491 37 800 800 Height (feet) (n) Brodict the value of x for x=503. Choose the correct answer below. Height (feet) 474 36 D ... (a) x = 503 feet (c) x 310 feet OC. 800 0 Height (feet) Q www. (b)x=642 feet (d) x = 730 feet OD. 60- 0- 0 800 Height (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. (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.)
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
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