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…

Answered: e expectancy S, L, nas Deen isinng…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Problem 1P

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Please no written by hand solutions 3. A researcher is interested in the correlation between a person’s age and the amount of sleep they get. He uses a poll to collect representative data for 2,000 people. The researcher performs a regression, with a dependent variable of minutes per week spent sleeping, and an independent variable of age in years. The regression results are as follows: - (Intercept): 150 - age: -5 Answer the following: - What is the regression line? - What is the predicted number of minutes sleeping for someone who is 20 years old? - The researcher is also interested in the relationship between age, sleep, and politics. Each person who responds to the poll chooses a value for liberal between 0 (very conservative) and 100 (very liberal) to describe their politics. The researcher performs a regression with the same independent variable of minutes per week sleeping, and dependent variables of age and liberal. The regression results are as follows: - (Intercept):…
QUESTION 2 Given that the slope of a regression line is 7.5 with x =9 and y 66 Find the value of x for y = 96 O 7 O 11 O 8 13 Click Save and Submit to save and submit. Click Save All Answers to save all answers. ASUS Viv
year, X tuition, y The data in the chart show the cost of tuition at a state university for the years 1997-2001. Fit a regression line to the data, where x is the number of years after 1997 Then find the coefficlent of correlation Finally, use the regression 2. (1999) 11,006 ine to predict the cost of tuition in 2004 2007, and 2010. 0. (1997) 1. (1998) 10,369 9743 3. (2000) 4. (2001) 11.486 12.077 Choose the correct regression line OA. y9779 2x+578 5 OC. y578 5x-97792 OB y=578.5x +9779 2 OD. y=9779.2
Terminology Using the lengths (in.), chest sizes (in.), and weights (lb) of bears from Data Set 9 “Bear Measurements’’ in Appendix B, we get this regression equation: Weight = −274 + 0.426 Length +12.1 Chest Size. Identify the response and predictor variables.
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 (a) x= 2 hours (c) x = 14 hours (b) x= 4.5 hours (d) x = 2.5 hours 40 45 52 47 65 69 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.)
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
Question: Give the equation of the model you chose in (b ) using the transformed variables .
Short Answer 2 Show that if the regression model contains a constant regressor, then Ý = ", Ý.
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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 (a) x = 2 hours (c) x = 14 hours (b) x = 4.5 hours (d) x = 1.5 hours 2 3 4 4 6 38 45 51 48 64 67 Find the regression equation. ŷ =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. A. ОВ. 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. 44.5 О В. 58.8 OC. 41.7 O D. not meaningful (b) Predict the value of y for x = 4.5. Choose the correct answer below. O A. 58.8 О В. 41.7 OC.…
P QUESTION 2 The value V of a piece of equipment between 1990 and 1995 is given in the table. Let t represent the year with t = 0 corresponding to 1990. Find the regression equation for the data in the table: Time, t 0 Value, V ($) 500 O y = 514.770(0.8x O y = -50x + 500 Oy=-x2 - 50x + 500 O y = 50x + 500 QUESTION 3 1 2 3 4 5 450 400 350 400 350 300 250 The table gives the average heights of children for ages 1-10, where x = the age (in years) and y = the height (in cm). 3 4 5 6 7 8 9 10 1 Age (years) Click Save and Submit to save and submit. Click Save All Answers to save all answers. 2 E; M 64 Save All Answer

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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