Question

The following regression model has been proposed to predict sales at a computer store:

y_hat = 50 –
3*x*_{1} + 20*x*_{2} +
10*x*_{3}

where

*x*_{1}
= competitor's previous day's sales (in $1000s)

*x*_{2}
= population within 1 mile (in 1000s)

*x*_{3}
= 1 if any radio advertising was used and 0
otherwise.

y_hat= sales (in $1000s)

Predict the change in sales (in dollars) when radio advertising was used, all else constant.

This, is from question one if needed; Predict sales (in dollars) for a store with the competitor's previous day's sale of $5000, a population of 20,000 within 1 mile, and nine radio advertisements.

Answer #1

The following regression model has been proposed to predict
sales at a gas station where x1 = their previous day’s
sales (in $1,000’s), x2 = population within 5 miles (in 1,000’s),
x3 = 1 if any form of advertising was used, 0 if otherwise, and
sales (in $1,000’s). Predict sales (in dollars) for a store with
competitor's previous day's sale of $3,000, a population of 10,000
within 5 miles, and twenty radio advertisements.

1.
Management of a fast-food chain proposed the following
regression model to predict sales at outlets:
y = β0 + β1x1 +
β2x2 + β3x3 + ε,
where
y = sales ($1000s)
x1= number of competitors
within one mile
x2= population (in 1000s)
within one mile
x3is 1 if a drive-up window
is present, 0 otherwise
The following estimated regression equation was developed after
20 outlets were surveyed:
= 12.6 − 3.6x1+
7.0x2+ 14.1x3
Use this equation to predict sales...

Management of a fast-food chain proposed the following
regression model to predict sales at outlets:
y = β0 + β1x1 +
β2x2 + β3x3 + ε,
where
y = sales ($1000s)
x1= number of competitors
within one mile
x2= population (in 1000s)
within one mile
x3is 1 if a drive-up window
is present, 0 otherwise
Multiple regression analysis was performed on a random sample of
data collected from 25 outlets.
Given the following portion of an output of the regression...

A microcomputer manufacturer has developed a regression model
relating his sales (Y in $10,000s) with three independent
variables. The three independent variables are price per unit
(Price in $100s), advertising (ADV in $1,000s) and the number of
product lines (Lines). Part of the regression results is shown
below.
Coefficient
Standard Error
Intercept
1.0211
22.8752
Price (X1)
-.1523
-.1411
ADV (X2)
.8849
.2886
Lines(X3)
-.1463
1.5340
Source
D.F.
S.S.
Regression
3
2708.651
Error
14
2840.51
Total
17
5549.12
(a) What has...

Using the model proposed by Lafley and Charan, analyze how
Apigee was able to drive innovation.
case:
W17400
APIGEE: PEOPLE MANAGEMENT PRACTICES AND THE CHALLENGE OF
GROWTH
Ranjeet Nambudiri, S. Ramnarayan, and Catherine Xavier wrote
this case solely to provide material for class discussion. The
authors do not intend to illustrate either effective or ineffective
handling of a managerial situation. The authors may have disguised
certain names and other identifying information to protect
confidentiality.
This publication may not be...

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