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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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
Transcribed Image Text:QUESTION
Quality Beverages, a non-liquor wholesaler incorporated in Washington, is interested in
assessing the effect of the price of a premium juice on the quantity sold. The results in the
table below on price, in dollars, and sales, in cases, were obtained from a sample of eight
weeks of sales records.
Price, x
Sales, y
19
20
24
21
18
19
17
27
12
14
18
13
10
15
29
25
a) Draw a scatter diagram of the given data on graph paper and comment on the
relationship between the price and sales.
b) Find the equation of the estimated least squares regression line of y = a + bx and
plot the line on the same graph as the scatter diagram.
c) Interpret the values of a and b in your estimated least squares regression line.
d) Compute the correlation coefficient and the coefficient of determination. Comment on
your results.
e) Estimate the sales when the price is
i. 16.
ii. 33.
Comment on the reliability of the estimates.
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