41414545494969697373Bone Density360360350350345345335335330330Copy DataStep 1 of 3 : Calculate the correlation coefficient, r. Round your answer to six decimal places.

We have given the data-Age4145496973Bone Density360350345335330We have to find the correlation…

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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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Find a 96% confidence interval for Hg. Let µa = H1 - H2, where u, is the mean solar energy generated for the east-west highways and µ, is the mean solar energy generated for the north-south highways. (Round to one decimal place as needed.)
Look at the data below regarding the variables x = lowest barometric pressure as a cyclone approaches and y = maximum wind speed of the cyclone. Is the value of |r| large enough to conclude that lowest barometric pressure and wind speed of a cyclone are correlated? Use ? = 0.01. (Round your answer for r to four decimal places.) x 1004 975 992 935 970 928y 40 100 65 145 70 151 r = ______critical r = ______
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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 72 69 58 47 84 62 57 Number of acres burned y 74 71 60 49 86 64 59 Send data to Excel The correlation coefficient for the data is r= 1 and a=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. y'=a+bx a b. Find y' when x=55. y' = %3D to
Can a low barometer reading be used to predict maximum wind speed of an approaching tropical cydone? For a random sample of tropical cyclones, let x be the lowest pressure (in millibars) as a cyclone approaches, and let y be the maximum wind speed (in miles per hour) of the cyclone. x 1004 975 992 935 971 924 y 40 100 65 145 78 147 A USE SALT (a) Make a scatter diagram ofr the data and visualize the line you think best fits the data. * 140 1000 140 1000 120- 120 100 100 80 80 940 60 940 E 60 40 40e. 920li 40 920 40 60 80 100 120 140 940 960 980 1000 60 80 100 120 140 940 960 980 1000 x (lowest pressure (in millibars) x (lowest pressure (in millibars) x (lowest pressure (in millibars)) x (lowest pressure (in millibars) (b) Would you say the correlation is low, moderate, or strong? O low O moderate O strong Would you say the correlation is positive or negative? O positive O negative (C) Use a calculator to verity thatx - 5801, - 5,613,547, E- 575, E- 64,543 and xy - 549,281. Compute r.…
use statcrunch to show work
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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.
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4141 4545 4949 6969 7373 Bone Density 360360 350350 345345 335335 330330 Copy Data Step 1 of 3 : Calculate the correlation coefficient, r. Round your answer to six decimal places.