A business analyst is hired by a local real estate firm to forecast how condo sales ona quarterly basis over the next several years. The firm provides the analyst with threeyears worth of quarterly condo sales data. Noticing that the data exhibits increasingtrend and a seasonal pattern, the analyst chooses to create a multiple regressionmodel for generating the forecasts:y = 130 + 16 OQtr1+(-98) Qtr2 + (-85) Qtr3 + 9 tIn the equation above, Qtr1, Qtr2, and Qtr3 are dummy variables corresponding tothe first, second, and third quarters of the calendar year and t is the time periodnumber, starting with t = 1 for the first quarter of year 1.%3DUsing the model described above, what is the forecast for the number of condo salesthe firm can expect during the second quarter of year 5?(Hint: the seeond quarter of year 5 would be time perlodt- 18.) Examine the following two quantitative variables. Create a quadratic model topredict y using x as the predictor variable.X Y0.82.12.12.93.43.54.5 7.25.8 10.26.2 10.1(Hint: copy-and-paste the data into Excel or statistical software and use thecomputer to calculate the correlation.)y =2.977-0.856x +0.31x2y = -0.126+1.154x +0.079r2y = 3.989- 1.573x +0.397ry = 1.662 0.203r + 0.24xy 1.939 - 0.121r+ 0. 249r

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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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