Question 5A company manufactures a gadget to be used in a very wide temperature .age. Ine companyknows that increased temperature shortens the ifetime of the device, and a study is thereforeperformed in which the lifetime is detemined as a function of temperature. The following datais found.Temperature (°C)10Lifetim e (h ours)380213163026542202531746211370668135929(a) Construct a linear regression model for the given data.(b) Interpret the relationship between temperature and lifetime of the gadget.(c) Estimate the lifetime of the device given temperature of l°C.

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Answered: Question 5 A company manufactures a…

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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The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The following data represents the value in 2014 (in $millions) and the annual revenue (in $millions) for the 30 Major League Baseball franchises. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated. Team Revenue Value Baltimore 245 1000 Boston 370 2100 Chicago White Sox 227 975 Cleveland 207 825 Detroit 254 1125 Houston 175 800 Kansas City 231 700 Los Angeles Angels 304 1300 Minnesota 223 895 New York Yankees 508 3200 Oakland 202 725 Seattle 250 1100 Tampa Bay 188 625 Texas 266 1220 Toronto 226 870 Arizona 211 840 Atlanta 267 1150 Chicago Cubs 302 1800 Cincinnati 227 885 Colorado…
A company manufactures an electronic device to be used in a very wide temperature range. The company knows that increased temperature shortens the lifetime of the device, and a study is therefore performed in which the life time is determined as a function of temperature. The following data is found. Temperature (°C) 1 22 31 40 引 2 70 81 11 51 62 93 Lifetime (hours) 420 355 285 220 178 117 69 34 6 (a) Construct a linear regression model for the given data. (b) Interpret the relationship between temperature and lifetime of the electronic device. (c) Estimate the lifetime of the device given temperature of 1°C. (d) Obtain the correlation coefficient value. (e) Interpret the value of correlation coefficient.
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