A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures. ŷ= 29+ 10x1 + 6x2 where x=inventory investment ($1,000s) X2 y advertising expenditures ($1,000s) sales ($1,000s). (a) Predict the sales (in dollars) resulting from a $14,000 investment in inventory and an advertising budget of $11,000. $ 15,000 (b) Interpret b, and b₂ in this estimated regression equation. Sales can be expected to increase by $ 10,000 expected to increase by $231,000 X for every dollar increase in inventory investment when advertising expenditure is held constant. Sales can be X for every dollar increase in advertising expenditure when inventory investment is held constant.

FINANCIAL ACCOUNTING
10th Edition
ISBN:9781259964947
Author:Libby
Publisher:Libby
Chapter1: Financial Statements And Business Decisions
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A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures.
ŷ= 29+ 10x1 + 6x2
where
x=inventory investment ($1,000s)
X2
y
advertising expenditures ($1,000s)
sales ($1,000s).
(a) Predict the sales (in dollars) resulting from a $14,000 investment in inventory and an advertising budget of $11,000.
$ 15,000
(b) Interpret b, and b₂ in this estimated regression equation.
Sales can be expected to increase by $ 10,000
expected to increase by $231,000
X for every dollar increase in inventory investment when advertising expenditure is held constant. Sales can be
X for every dollar increase in advertising expenditure when inventory investment is held constant.
Transcribed Image Text:A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures. ŷ= 29+ 10x1 + 6x2 where x=inventory investment ($1,000s) X2 y advertising expenditures ($1,000s) sales ($1,000s). (a) Predict the sales (in dollars) resulting from a $14,000 investment in inventory and an advertising budget of $11,000. $ 15,000 (b) Interpret b, and b₂ in this estimated regression equation. Sales can be expected to increase by $ 10,000 expected to increase by $231,000 X for every dollar increase in inventory investment when advertising expenditure is held constant. Sales can be X for every dollar increase in advertising expenditure when inventory investment is held constant.
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