16.r-
Objective [2.6]
Situation: The Ipod Touch has been out for two
years now and a lot of data has been collected.
Relevant Relationship:
There is a functional relationship between Price of an IPod
Touch,pp and Weekly Demand,ss.
Below is a table of data that have been collected
Price,pp,($) | Weekly Demand,ss,(1,000s) |
---|---|
150 | 214 |
170 | 207 |
190 | 191 |
210 | 190 |
230 | 180 |
250 | 172 |
A.. Find the linear model that best fits this data
using regression and enter the model below
(for entry round the linear parameter value to nearest 0.01 and
constant parameter to nearest 1)
s=T(p)=s=T(p)=
Now answer these two questions using the UNROUNDED model
parameters
B.. What does the model predict will be the weekly
demand if the price of an ipod touch is $240 ? (nearest
100)
C.. According to the model at what should the
price be set in order to have a weekly demand of 187,700 ipod
Touches? $ (nearest $1)
Note: In the "real" world Apple sold about 20 million Ipod Touch's
from Sept. 2007-Sept. 2009
Solution-
Using the SPSS software there is given the following output:
Coefficientsa | ||||||
Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | ||
B | Std. Error | Beta | ||||
1 | (Constant) | 275.762 | 7.599 | 36.289 | .000 | |
price | -.417 | .037 | -.984 | -11.138 | .000 | |
a. Dependent Variable: quantity |
Ans- A)
linear model that best fits this data using regression using the output data where Y= Quantity taken as a dependent variable,
X= Price taken as a independent variable, since Model
Ans-B)
unrounded model for the data
SInce
Ans-C)
Get Answers For Free
Most questions answered within 1 hours.