Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is32 years. Is the result within 5 years of the actual Best Actor winner, whose age was 47 years?Best Actress293228593232443065214356 DBest Actor453539474947595138534335......Find the equation of the regression line.(Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.)

Answered: Image /qna-images/answer/1e2742b3-ad19-414b-813f-46c301596b1e.jpg

Answered: Find the regression equation, letting…

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 regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years. Is the result within 5 years of the actual Best Actor winner, whose age was 49 years? Best Actress 28 32 29 61 31 32 45 28 65 22 46 54 Best Actor 41 38 38 44 51 48 57 49 37 54 46 35 Find the equation of the regression line. y=+x (Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.) The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years is (Round to the nearest whole number as needed.) Is the result within 5 years of the actual Best Actor winner, whose age was 49 years? the predicted age is the actual winner's age. years old.
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years. Is the result within 5 years of the actual Best Actor winner, whose age was 53 years? Best Actress 29 29 30 58 30 33 45 28 60 22 42 51 Best Actor 44 38 38 44 50 46 60 53 41 55 46 31
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 29 years. Is the result within 5 years of the actual Best Actor winner, whose age was 51 years? Best Actress 27 30 30 60 30 34 44 29 65 23 45 56 D Best Actor 41 38 37 46 51 46 60 51 39 55 44 34 Find the equation of the regression line. (Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.)
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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. Height, x Stories, y 762 51 621 46 515 45 508 42 491 39 480 36 (a) x = 502 feet (c) x = 315 feet Find the regression equation. ŷ=x+ (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) (b) x = 645 feet (d) x = 731 feet
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 34 years. Is the result within 5 years of the actual Best Actor winner, whose age was 47 years? Best Actress 27 32 28 59 32 34 46 28 64 23 43 54 Best Actor 42 36 37 43 48 47 60 53 40 53 45 34 Find the equation of the regression line. y=_ +(_)x
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years. Is the result within 5 years of the actual Best Actor winner, whose age was 50 years? Best Actress 27 30 28 61 30 34 46 28 62 21 45 51 Best Actor 45 37 37 46 52 48 63 50 40 54 42 35 Find the equation of the regression line. + (Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.) The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years is years old. (Round to the nearest whole number as needed.) Is the result within 5 years of the actual Best Actor winner, whose age was 50 years? the predicted age is the actual winner's age. Enter your answer in each of the answer boxes.
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 27 years. Is the result within 5 years of the actual Best Actor winner, whose age was 43 years? Best Actress 27 32 30 63 30 31 47 30 61 22 46 54 9 Best Actor 43 39 37 46 48 48 62 49 38 56 42 35
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 2929 years. Is the result within 5 years of the actual Best Actor winner, whose age was 4444 years? Best Actress 29 29 28 61 33 35 47 30 60 22 43 57 Best Actor 44 39 40 46 52 46 57 48 41 55 42 34 Find the equation of the regression line. ModifyingAbove y with caretyequals=nothingplus+(nothing)x (Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.) The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 29 years is nothing years old. (Round to the nearest whole number as needed.) Is the result within 5 years of the actual Best Actor winner,…
Find the regression equation, letting the first variable be the predictor (x) variable. Find the best predicted Nobel Laureate rate for a country that has 79.4 Internet users per 100 people. How does it compare to the country's actual Nobel Laureate rate of 1.2 per 10 million people? Internet Users Per 100 Nobel Laureates 79.3 5.6 80.5 24.2 78.8 8.7 45.2 0.1 82.5 6.2 38 0.1 90.3 25.4 88.6 7.6 80.3 9.1 83.1 12.6 53.3 1.9 76.3 12.7 56.6 3.3 78.5 1.5 91.6 11.5 93.4 25.2 65.3 3.1 57.3 1.9 68.2 1.7 94.8 31.6 85.4 31.3 86.4 19.1 78.3 10.9 2) Check Image
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 31 years. Is the result within 5 years of the actual Best Actor winner, whose age was 38 years? Best Actress Best Actor 27 31 29 59 33 42 38 36 43 53 34 47 22 46 55 39 57 45 33 44 28 63 62 49 *** Find the equation of the regression line. ŷ=0+0x (Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.)
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best-predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years. Is the result within 5 years of the actual Best Actor winner, whose age was 39 years? Best Actress 28 32 28 58 31 31 47 29 63 21 43 57 Best Actor 42 38 39 43 49 50 57 53 38 53 45 35 1. Find the equation of the regression line. y =__+(__)x 2. Estimate y for x = 28 y=

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