The average life expectancy in the United States, L, has been rising steadily over the past few decades, as shown in the table below. Let t bethe number of years since 1920, (so tO represents the year 1920).Year1920 1930 1940 1950 1960 1970 19801990Life expectancy 54.6 57.8 62.3 64.5 66.3 69.6 73.6 75.7(a) Find the equation of the regression line.Average life expectancy, L(t) =Note: this is a function of t (not x).(b) Estimate the average life expectancy in the United States in the year 1959 according to the linear model in part (a).Average life expectancy in 1959

The average life expectancy in the United States, L, has been rising steadily over the past few…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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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…
Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places).y = _________ x + ________ x y 2 14.14 3 18.16 4 20.68 5 22.3 6 22.82 7 26.64 8 29.26
Given: (0, 3.0), (2, 20.6), (4, 72.8), (6, 236.5), (8, 714.0), (10, 2209.7) Use the regression feature of a graphing utility to find an exponential model y ab* for the data and identify the coefficient of determination. (Enter coefficients to four decimal places.) yw
Predict the average lifespan of an animal in years when the incubation/gestation time is 12 months. Animal: Nile crocodile, Aldabra giant tortoise, Lake sturgeon,Galápagos tortoise, Bowhead whale Average Lifespan (in Years):100 152 152 177 211 Incubation/ Gestation (in Months)3 8 0.25 4.7 regression equation and regression line if needed
Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places).y = ___ x + ____ x y 3 11.49 4 10.82 5 11.05 6 13.58 7 13.51 8 17.04 9 18.27 10 19.6
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)
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Short Answer 2 Show that if the regression model contains a constant regressor, then Ý = ", Ý.
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e expectancy S, L, nas Deen isinng steadily ce 1920, (so t = 0 represents the year 1920). Year 1920 1930 1940 1950 196 Life expectancy 54.6 57.8 62.3 64.5 66.= the regression line. 1, L(t) = of t (not x). e life expectancy in the United States in the year 1959 according t