MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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The large national bank charges local companies for using their
services. A bank official reported the results of a regression analysis
designed to predict the bank's charges (Y), measured in RM per
month for services rendered to local companies. One independent
variable used to predict service charge to a company is the the
company's sales revenue (X), measured in millions of RM. Data for 21
companies who use the bank's services were used to fit the model.
The results of the simple linear regression are provided below. Based
on results below, interpret the standard error of the estimate in the
model. *
ŷ = -2,700 + 20x
Sxy = 65,
two – tailed p – value = 0.034 (for testing B
%3D
About 95% of the observed service charges fall within RM65 of the least
squares line.
About 95% of the observed service charges equal their corresponding predicted
values..
About 95% of the observed service charges fall within RM130 of the least
squares line.
For every RM1 million increase in sales revenue, we expect a service charge to
increase RM65.
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Transcribed Image Text:The large national bank charges local companies for using their services. A bank official reported the results of a regression analysis designed to predict the bank's charges (Y), measured in RM per month for services rendered to local companies. One independent variable used to predict service charge to a company is the the company's sales revenue (X), measured in millions of RM. Data for 21 companies who use the bank's services were used to fit the model. The results of the simple linear regression are provided below. Based on results below, interpret the standard error of the estimate in the model. * ŷ = -2,700 + 20x Sxy = 65, two – tailed p – value = 0.034 (for testing B %3D About 95% of the observed service charges fall within RM65 of the least squares line. About 95% of the observed service charges equal their corresponding predicted values.. About 95% of the observed service charges fall within RM130 of the least squares line. For every RM1 million increase in sales revenue, we expect a service charge to increase RM65.
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