In Simple Linear Regression, the Regression line, y = a + bx, is the unique line that minimizes- Σω-9)b. Σε€ 2(x-2)d. 2 A regression analysis between X-Price (in dollars) of a particular item and Y=Sales (in $1000) of thatparticular item resulted in the following equation:9-50-8xThe above equation implies thatb.a. if the price is increased by $1 then we would expect Sales to increase by $50,000.if the price is increased by $1 then we would expect Sales to increase by $42,000.e. if the price is increased by $1 then we would expect Sales to decrease by $49,992.d. if the price is increased by $1 then we would expect Sales to decrease by $8000.

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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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In Simple Linear Regression, the Regression line, 9 = a + bx, is the unique line that minimizes BL Σ6-9² b. c. Σ(x-2)² d. P