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=
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 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=
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