Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year.The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety lawshave been passed to prevent joggers from wearing them. Demand for the players for last year was as follows:MONTHJanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecemberMontha. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediatecalculations. Round your answers to 2 decimal places.)JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberDEMAND (UNITS)NovemberDecember4,2204,3204,0204,4205,0204,7205,3204,9205,4205,7206,3206,020Forecast6,196.676,388.976,581.286,773.596,965.907,158.217,350.517,542.827,735.137,927.448,119.748,312.05

The demand with respect to the month is given as:MonthDemand…

Answered: Demand for stereo headphones and MP3…

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 condition of an independent variable being correlated to one or more other independent variables is referred to as nonlinearity. statistical significance. multicollinearity. linearity.
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During the 1950's and 1960's the average weight of vehicles sold in the U.S. was well over 4,000 pounds. There was a dip in the average weights in the 1970's and 1980's, due possibly to both higher demand for better gas mileage and a world-wide shortage of crude oil. Then in the 1990's and early 2000's the average weight of vehicles had a steady increase. A regression analysis was completed on the average weight of the 10 most commonly sold vehicles in the U.S. from the years 2012 through the year 2020 and yielded the following results, where the independent variable is the year and the predicted variable is the average weight of the 10 most popular vehicles. Correlation of "Average Weight" and "Year" = r = 0.9283 The regression equation is "Average Weight" = –124,960.73 + 63.82(Year) Predict the Average Weight to the nearest pound for the 2022 Year. Group of answer choices A. 4057 pounds B. 4015 pounds C. This value of Year is beyond the scope of the…
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