Average Age and Length of Service The data show the average ages and lengths of service in months. Age 24.9 25.7 26.4 26.7 27.3 Time 66.3 68.8 74 89.2 82 Send data to Excel The correlation coefficient for the data is r 0.824 and a 0.05. Should regression analysis be done? OThe regression analysis should not be done. O The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places. y'%3a+ bx

Average Age and Length of Service The data show the average ages and lengths of service in months. Age 24.9 25.7 26.4 26.7 27.3 Time 66.3 68.8 74 89.2 82 Send data to Excel The correlation coefficient for the data is r 0.824 and a 0.05. Should regression analysis be done? OThe regression analysis should not be done. O The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places. y'%3a+ bx

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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Average Age and Length of Service The data show the average ages and lengths of service in months. Age 24.6 25.5 26.1 27.3 27.2 Time 66.6 71 74.9 88.9 80.6 The correlation coefficient for the data is r=0.944 and α=0.05 Should regression analysis be done? The regression analysis should not be done. The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places. y'=a+bx a= b= If a service person is 26.6 years old, predict the time that the person will serve. Round the answer to at least one decimal place. The service person will serve months.
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EQuestion Help 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 IA Test score,y 3 (a) x=2 hours (c) x= 12 hours (b) x = 25 hours (d) x= 4.5 hours 38 44 50 47 61 68 Find the regression equation. y = 6.269 x+ (32.48) (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. OD. OB. OC. O A. 80- 80- 80 80-4 0-+ Hours studying Hours studying Hours studying Hours studying 10 18 PM (E) More 10/3/2020 Click to select your answer(s)
How do find the answer on paper and the TI84
Correlation and Regression Assignment A sample of 10 adult men gave the following data on their heights and weights. Height (inches) X 62 62 63 65 66 67 68 68 70 72 Weight (pounds) Y 120 140 130 150 142 130 135 175 149 168 Generate the scatter plot of this data and graph the regression line in your plot. Include a picture of this graph and explain your impression of how well the line fits the data. State the equation of the regression line. Find r (correlation coefficient). Interpret the value of r in the context of this problem. Find the coefficient of determination, r2. Explain what it means in the context of this problem. Provide examples of other lurking variables that may have an effect on weight besides height. Use a 1% level of significance to test the claim that ρ > 0. Show all steps of your hypothesis test. Predict the weight of a man whose height is 60 inches. (h) Find…
Forest Fires and Acres Burned Numbers (in thousands) of forest fires over the year and the number (in hundred thousands) of acres burned for 7 recent years are shown. Number of fires x 58 47 84 62 57 72 69 Number of acres burned y 54 43 80 58 53 68 65 The correlation coefficient for the data is =r1 and =α0.05 . Should regression analysis be done? The regression analysis should not be done. The regression analysis should be done. Find the equation of the regression line. =y′+abx =a =b Find y′ when =x50 . =y′
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Tall Buildings The stories and heights (in feet) of a sample of 10 buildings in Pittsburgh are shown. Stories.x 64 54 40 31 45 44 42 41 39 40 Height y 741 625 535 516 515 482 435 420 411 385 Send data to Excel The correlation coefficient for the data is r= 0.788 and a= 0.05. Should regression analysis be done? O The regression analysis should not be done. O The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places. y'=a+bx a = b = Find y' when x = 36. Round your answer to at least three decimal places. y'
derwin
Forest Fires and Acres Burned Numbers (in thousands) of forest fires over the year and the number (in hundred thousands) of acres burned for 6 recent years are shown. Number of fires x 69 58 62 84 47 72 Number of acres burned y 62 42 19 15 26 42 Send data to Excel The correlation coefficient for the data is =r−0.054 and =α0.01 . Should regression analysis be done? The regression analysis should not be done. The regression analysis should be done. Find the equation of the regression line. =y′+abx =a =b Find y′ when =x60 . =y′
Correlation and Regression Assignment A sample of 10 adult men gave the following data on their heights and weights. Height (inches) X 62 62 63 65 66 67 68 68 70 72 Weight (pounds) Y 120 140 130 150 142 130 135 175 149 168 Generate the scatter plot of this data and graph the regression line in your plot. Include a picture of this graph and explain your impression of how well the line fits the data. State the equation of the regression line. Find r (correlation coefficient). Interpret the value of r in the context of this problem. Find the coefficient of determination, r2. Explain what it means in the context of this problem. Provide examples of other lurking variables that may have an effect on weight besides height. Use a 1% level of significance to test the claim that ρ > 0. Show all steps of your hypothesis test. Predict the weight of a man whose height is 60 inches. (h) Find…
Stereo A company sets different prices for a particular stereo system in eight different regions of the country. The accompanying table shows the numbers of units sold and the corresponding prices (in hundreds of dollars). SALES 420 380 350 400 440 380 450 420 PRICE 5.5 6.0 6.5 6.0 5.0 6.5 4.5 5.0 Stereo: Using the SPSS file assigned to this quiz, run a regression. What is the p value for the overall regression? .001 .051 .000 1.00