In order to determine the relationship between the number of units sold of a company's product (y) in 9 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. Competitor Price Competitor Stores Units sold 550 35 3 545 35 3 540 40 600 40 600 44 3 510 35 570 39 650 45 1 615 45 3 Generate a linear multiple regression output for the data. a) Report the regression coefficients accurate to 3 decimal places: b) Report the coefficient of determination accurate to 3 decimal places: R =

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 26PPS
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In order to determine the relationship between the number of units sold of a company's product (y) in 9
cities with their major competitor's price (*1) in dollars, and the number of stores (r2) the competitor has
in each city, the following data were collected.
Competitor
Competitor
Units sold
Price
Stores
550
35
3
545
35
3
540
40
600
40
2
600
44
3
510
35
570
39
4
650
45
1
615
45
3
Generate a linear multiple regression output for the data.
a) Report the regression coefficients accurate to 3 decimal places:
ŷ=
b) Report the coefficient of determination accurate to 3 decimal places:
R
Transcribed Image Text:In order to determine the relationship between the number of units sold of a company's product (y) in 9 cities with their major competitor's price (*1) in dollars, and the number of stores (r2) the competitor has in each city, the following data were collected. Competitor Competitor Units sold Price Stores 550 35 3 545 35 3 540 40 600 40 2 600 44 3 510 35 570 39 4 650 45 1 615 45 3 Generate a linear multiple regression output for the data. a) Report the regression coefficients accurate to 3 decimal places: ŷ= b) Report the coefficient of determination accurate to 3 decimal places: R
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