Price–demand. A company manufactures notebook computers. Its marketing research department, using statistical techniques, collected the data shown in Table 9, where 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 following price–demand function to model the data: p ( x ) = 2 , 000 − 6 0 x 1 ≤ x ≤ 25 Table 9 Price–Demand x (thousands) p ($) 1 1,940 8 1,520 16 1,040 21 740 25 500 (A) Plot the data points in Table 9, and sketch a graph of the price–demand function in the same coordinate system . (B) What would be the estimated price per computer for a demand of 11,000 computers? For a demand of 18,000 computers?
Price–demand. A company manufactures notebook computers. Its marketing research department, using statistical techniques, collected the data shown in Table 9, where p is the wholesale price per computer at which x thousand computers can be sold. Using special analytical techniques ( regression analysis ), an analyst produced the following price–demand function to model the data: p ( x ) = 2 , 000 − 6 0 x 1 ≤ x ≤ 25 Table 9 Price–Demand x (thousands) p ($) 1 1,940 8 1,520 16 1,040 21 740 25 500 (A) Plot the data points in Table 9, and sketch a graph of the price–demand function in the same coordinate system . (B) What would be the estimated price per computer for a demand of 11,000 computers? For a demand of 18,000 computers?
Solution Summary: The author illustrates the price-demand function in the same coordinate system, where p is the wholesale price per computer at which x thousand computers can be sold.
Price–demand. A company manufactures notebook computers. Its marketing research department, using statistical techniques, collected the data shown in Table 9, where 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 following price–demand function to model the data:
p
(
x
)
=
2
,
000
−
6
0
x
1
≤
x
≤
25
Table 9 Price–Demand
x (thousands)
p($)
1
1,940
8
1,520
16
1,040
21
740
25
500
(A) Plot the data points in Table 9, and sketch a graph of the price–demand function in the same coordinate system.
(B) What would be the estimated price per computer for a demand of 11,000 computers? For a demand of 18,000 computers?
Definition Definition Statistical method that estimates the relationship between a dependent variable and one or more independent variables. In regression analysis, dependent variables are called outcome variables and independent variables are called predictors.
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Time Series Analysis Theory & Uni-variate Forecasting Techniques; Author: Analytics University;https://www.youtube.com/watch?v=_X5q9FYLGxM;License: Standard YouTube License, CC-BY