Might we be able to predict life expectancies from birthrates?Below are bivariate data giving birthrate and life expectancy information for each of twelve countries. For each of the countries, both x, the number of births perone thousand people in the population, and y, the female life expectancy (in years), are given. Also shown are the scatter plot for the data and the least-squaresregression line. The equation for this line is y=83.86-0.52x.Birthrate, xFemale life expectancy, y(in years)(number of births per 1000 people)34.467.319.672.949.258.8XX39.463.828.073.350.353.914.177.315.573.345.057.830.863.250.661.826.073.3Send data to calculator VBased on the sample data and the regression line, answer the following.(a) From the regression equation, what is the predicted female life expectancy (in years) when the birthrate is 30.8 births per1000 people? Round your answer to one or more decimal places.(b) From the regression equation, what is the predicted female life expectancy (in years) when the birthrate is 23.6 births per1000 people? Round your answer to one or more decimal places.0Female life expectancy(In years)X40 4550 55Birthrate(number of births per 1000 people)

a) In this case, the birthdate is the independent variable (x) and the female life expectancy is the…

Answered: Might we be able to predict life…

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 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. (b) x = 641 feet (d) x = 725 feet (a) x = 500 feet (c) x = 345 feet 483 492 510 518 621 Height, x Stories, y 758 37 35 41 44 47 51 Find the regression equation. ŷ=x+ (O Q. (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) th Choose the correct graph below. 12 OD. OC. O B. OA. 60- 60- 60- 60- cion 0- ons 800 800 800 800 Height (feet) Height (feet) Height (feet) Height (feet) Quest (a) Predict the value of y for x = 500. Choose the correct answer below. ed Que O A. 51 d Quest O B. 39 O C. 47 Click to select your answer(s). tv DEC MacBook…
The data show the number of felony convictions, in hundreds, and the crime rate, in crimes per 100,000, for seven randomly selected states. For the given data, a. determine the correlation coefficient between the number of felony convictions and the crime rate, (b) find the equation of the regression line, (c) approximate what crime rate can we anticipate in a state that has 12 hundred felony convictions.Felony convictions: 11.4, 8.1, 6.7, 3.4, 2.4, 2.3, 0.4Crime rate/ 100,000: 12, 9.5, 10.4, 9, 4.2, 5.5, 3.3 A. a. r = 0.906 b. y = 3.85x + 0.777 c. 47 B. a. r = 0.906 b. y = 0.777x + 3.85 c. 13.2 C. a. r = -0.906 b. y = 0.777x - 3.85 c. 5.5 D. a. r = -0.906 b. y = -0.777x + 3.85 c. 5.5
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Below are bivariate data giving birthrate and life expectancy information for each of twelve countries. For each of the countries, both x, the number of births per one thousand people in the population, and y, the female life expectancy (in years), are given. Also shown are the scatter plot for the data and the least-squares regression line. The equation for this line is y = 81.87– 0.46x. Birthrate, x (number of births per 1000 рop.) Female life expectancy, y (in years) 85- 35.7 67.7 80 41.5 63.9 31.9 63.3 75+ メメ 19.9 73.0 70- 50.5 60.4 65- 24.4 72.7 60- 50.1 63.2 55 13.8 72.5 50 50.3 54.6 45.6 57.9 15.9 76.2 Figure 1 26.6 71.9
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Please help me with the breakdown and steps on this equation.
Might we be able to predict life expectancies from birthrates? Below are bivariate data giving birthrate and life expectancy information for each of twelve countries. For each of the countries, both x, the number of births per one thousand people in the population, and y, the female life expectancy (in years), are given. Also shown are the scatter plot for the data and the least-squares regression line. The equation for this line is y=82.25 -0.48x. ^ Birthrate, x (number of births per 1000 people) 35.5 44.9 29.7 19.9 13.7 27.0 51.9 15.0 50.9 49.7 39.6 24.4 Send data to calculator Send data to Excel Female life expectancy, y (in years) 67.9 57.9 61.7 71.4 72.5 73.5 55.4 76.5 58.2 60.6 64.4 74.4 Based on the sample data and the regression line, complete the following. Female life expectancy (in years) 85 80+ 75+ 70- 65+ 60- 55+ 50 x X x ++ 10 15 20 25 (b) According to the regression equation, for an increase of one (birth per 1000 people) in birthrate, there is a corresponding decrease…

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