In order to determine the relationship between the number of units sold of a company's product (y) in 11 cities with their major competitor's price (x1) in dollars, and the number of stores (x2) the competitor has in each city, the following data were collected. Units sold Competitor Price Competitor Stores 510 35 5 680 45 0 590 40 2 650 45 1 600 40 2 600 41 1 540 40 5 575 46 6 600 41 2 550 35 3 560 39 3 Generate a linear multiple regression output for the data. a) Report the regression coefficients accurate to 3 decimal places: ˆy^= ---- +------ x1 + -------x2 b) Report the coefficient of determination accurate to 3 decimal places: R2=

In order to determine the relationship between the number of units sold of a company's product (y) in 11 cities with their major competitor's price (x1) in dollars, and the number of stores (x2) the competitor has in each city, the following data were collected. Units sold Competitor Price Competitor Stores 510 35 5 680 45 0 590 40 2 650 45 1 600 40 2 600 41 1 540 40 5 575 46 6 600 41 2 550 35 3 560 39 3 Generate a linear multiple regression output for the data. a) Report the regression coefficients accurate to 3 decimal places: ˆy^= ---- +------ x1 + -------x2 b) Report the coefficient of determination accurate to 3 decimal places: R2=

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 93E

See similar textbooks

Units sold	Competitor Price	Competitor Stores
510	35	5
680	45	0
590	40	2
650	45	1
600	40	2
600	41	1
540	40	5
575	46	6
600	41	2
550	35	3
560	39	3

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