Lulu Hypermarket has a record showing data on sales per year (in thousands of rials) and advertisement (in hundreds of rials) for the last five years. The record gives the following details. ΣΧ-132 EX? = 3,502 ΣΥ-96 ΣΥ-1,870 ΣΧΥ-2,553 a. Please develop the least squares estimated regression line. b. Using your regression line developed in Part a, predict the sales when advertisement is $3,000. c. At a = 0.05, determine if advertisement and sales are related (perform at test).
Lulu Hypermarket has a record showing data on sales per year (in thousands of rials) and advertisement (in hundreds of rials) for the last five years. The record gives the following details. ΣΧ-132 EX? = 3,502 ΣΥ-96 ΣΥ-1,870 ΣΧΥ-2,553 a. Please develop the least squares estimated regression line. b. Using your regression line developed in Part a, predict the sales when advertisement is $3,000. c. At a = 0.05, determine if advertisement and sales are related (perform at test).
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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
Transcribed Image Text:Lulu Hypermarket has a record showing data on sales per year (in thousands of rials) and
advertisement (in hundreds of rials) for the last five years. The record gives the
following details.
ΣΧ-132
ΣΧ3,502
ΣΥ- 96
EY? = 1,870
ΣΧΥ-2,553
a. Please develop the least squares estimated regression line.
b. Using your regression line developed in Part a, predict the sales when
advertisement is $3,000.
c. At a = 0.05, determine if advertisement and sales are related (perform a t test).
d. Develop a 95% confidence interval for estimating the mean sale for those
years when advertisement was $3,000.
e. Compute the coefficient of determination.
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