M Wed Feb 15Measles and Mumps The data show the number of cases of measles and mumps for a recent 5-year period.Measles CasesMumps Cases48 1501797 47570 60 2031954 2575 370Send data to Excelwww-awu.connectmath.comThe correlation coefficient for the data is r=-0.911 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 decimalplaces.y' = a + bxa =b =Given a year with 185 cases of measles, predict the expected number of cases of mumpsfor that year. Round your answer to at least one decimal place.The number of cases of mumps for that year is47%Submit Assignment2023 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Cent0

The independent variable is Measles cases (x) and the dependent variable is Mumps cases (x),

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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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Measles and Mumps The data show the number of cases of measles and mumps for a recent 5-year period. Measles Cases Mumps Cases 47 135 67 57 205 816 437 1972 2567 384 Send data to Excel The correlation coefficient for the data is r=-0.671 and a=0.05. Should regression analysis be done? 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 = Given a year with 160 cases of measles, predict the expected number of cases of mumps for that year. Round your answer to at least one decimal place. The number of cases of mumps for that year is X
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Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation?
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)
NHL Assists and Total Points The number of assists and total number of points for a sample of NHL scoring leaders from the NHL are shown. Assists x 65 83 58 59 68 67 Total points y 94 112 109 109 101 91 Send data to Excel The correlation coefficient for the data is r= 0.146 and a = 0.05. Should regression analysis be done? OThe regression analysis should not be done. O The regression analysis should be done. O Find the equation of the regression line. y'=a+bx a = 93.237 b = 0.141 Find y' when x= 65. y'= 102.402
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? r= -0.438 please dont copy paste the content from other sites
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′
K Fit a regression line to the data shown in the chart, and find the coefficient of correlation for the line. Use the regression line to predict life expectancy in the year 2000, where x is the number of decades after 1900. year, x 0 (1900) life expectancy, y 49.1 years 51.4 years 2 (1920) 4 (1940) 53.0 years 6 (1960) 54.2 years 55.2 years 8 (1980) Choose the regression line. OA. y = 0.750x - 49.58 O C. y = 0.750x + 49.58 OB. y=49.58x + 0.750 = 49.58 ○ D. y = The life expectancy in the year 2000, rounded to one decimal place is years.
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'
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′
Average Age and Length of Service The data show the average ages and lengths of service in months. Age 25 25.5 26.5 26.6 26.9 Time 66.2 71.2 72.6 88.1 82.7 The correlation coefficient for the data is =r0.817 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. Round the coefficients to at least three decimal places. =y′+abx =a =b If a service person is 26.0 years old, predict the time that the person will serve. Round the answer to at least one decimal place. Theservicepersonwillservemonths.
Use the regression equation to predict the value of y for x = -1.6. Assume that the variables x and y have a significant correlation. -5-34 1 -1-2 X 0 2 3 -4 y - -10 8 9 1 -2-6 -1 3 6 -8 OA. 1.214 OB. -2.803 O C. 2.980 OD. -3.907

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