Using empirical data, a researcher developed a linear regression model of Ỹ = 65 + 0.9x1 – 0.5x2 %3D to predict Y, the life span in years, where x, is the average hours per week of exercise and x2 is the number of years spent smoking. Using this model, what is the predicted life span for a person who exercised an average of 5 hours per week and smoked for 20 years? 50.5 years 59.5 years O 65 years 80.5 years

Using empirical data, a researcher developed a linear regression model of Ỹ = 65 + 0.9x1 – 0.5x2 %3D to predict Y, the life span in years, where x, is the average hours per week of exercise and x2 is the number of years spent smoking. Using this model, what is the predicted life span for a person who exercised an average of 5 hours per week and smoked for 20 years? 50.5 years 59.5 years O 65 years 80.5 years

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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A well-balanced stock market portfolio will often experience an exponential growth. A particular investor with a well-balanced stock market portfolio records the portfolio balance every month, in thousands of dollars, from the date of investment. The roughly exponential growth can be transformed to a linear model by plotting the natural log of the balances versus time, in months, where t = 0 represents the date the money was invested. The linear regression equation for the transformed data is Using this equation, what is the predicted balance of the portfolio after 2 years (24 months)? (A) $5,654 (B) $6,798 (C) $285,431 (D) $896,053 (E) $948,464
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