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. ΣΧ132 EX? = 3,502 ΣΥ-96 EY² = 1,870 EXY = 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. At a = 0.05, determine if advertisement and sales are related (perform a t test).

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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.
EX = 132
ΣΧ3,502
EY = 96
EY² = 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.
||
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. EX = 132 ΣΧ3,502 EY = 96 EY² = 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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