1. Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be the predictor (x) variable. Find the best predicted height of a male with a foot length of 272.8 mm. How does the result compare to the actual height of 1776mm?Foot Length281.8277.7253.2259.2279.1258.0274.2262.2 DHeight1784.7 1770.8 1676.3 1645.8 1858.9 1709.7 1789.3 1737.2The regression equation is y = + ( )x.(Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.)The best predicted height of a male with a foot length of 272.8 mm ismm.(Round to the nearest integer as needed.)How does the result compare to the actual height of 1776 mm?A. The result is close to the actual height of 1776 mm.B. The result is exactly the same as the actual height of 1776 mm.C. The result is very different from the actual height of 1776 mm.D. The result does not make sense given the context of the data.

Solution-: Let, X=Foot length (mm) and Y=Height (mm) We want to find, (a) The regression equation Y…

Answered: Listed below are foot lengths (mm) and…

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 40RE: For the following exercises, consider the data in Table 5, which shows the percent of unemployed ina...

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For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracy
For the following exercises, consider the data in Table 5, which shows the percent of unemployed ina city of people 25 years or older who are college graduates is given below, by year. 40. Based on the set of data given in Table 6, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient to three decimal places.
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The regional transit authority for a major metropolitan area wants to determine whetherthere is a relationship between the age of a bus and the annual maintenance cost. A sampleof ten buses resulted in the following data: a. Develop a scatter chart for these data. What does the scatter chart indicate about therelationship between age of a bus and the annual maintenance cost?b. Use the data to develop an estimated regression equation that could be used to predictthe annual maintenance cost given the age of the bus. What is the estimated regressionmodel?c. Test whether each of the regression parameters b0 and b1 is equal to zero at a 0.05level of significance. What are the correct interpretations of the estimated regressionparameters? Are these interpretations reasonable?d. How much of the variation in the sample values of annual maintenance cost does themodel you estimated in part b explain?e. What do you predict the annual maintenance cost to be for a 3.5-year-old bus?
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