A company manufactures notebook computers. Its marketing research department, using statistical techniques, collected the data shown in the table, where x(thousands) 1 p is the wholesale price per computer at which x thousand computers can be sold. Using special analytical techniques (regression analysis), an analyst produced the price-demand function p(x) = 2,400-40x, 1 ≤x≤25 to model the data. Complete parts (A) and (B) below. The estimated price per computer for a demand of 15,000 computers is $ The estimated price per computer for a demand of 21,000 computers is S 5 20 23 25 P(S) 2360 2200 1600 1480 1400

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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A company manufactures notebook computers. Its marketing research department, using statistical techniques, collected the data shown in the table, where x(thousands)
1
p is the wholesale price per computer at which x thousand computers can be sold. Using special analytical techniques (regression analysis), an analyst
produced the price-demand function p(x) = 2,400-40x, 1 ≤x≤25 to model the data. Complete parts (A) and (B) below.
5
20
23
25
The estimated price per computer for a demand of 15,000 computers is $
The estimated price per computer for a demand of 21,000 computers is $.
p(S)
2360
2200
1600
1480
1400
Transcribed Image Text:A company manufactures notebook computers. Its marketing research department, using statistical techniques, collected the data shown in the table, where x(thousands) 1 p is the wholesale price per computer at which x thousand computers can be sold. Using special analytical techniques (regression analysis), an analyst produced the price-demand function p(x) = 2,400-40x, 1 ≤x≤25 to model the data. Complete parts (A) and (B) below. 5 20 23 25 The estimated price per computer for a demand of 15,000 computers is $ The estimated price per computer for a demand of 21,000 computers is $. p(S) 2360 2200 1600 1480 1400
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