Submitted by: Submitted by dagama
Views: 793
Words: 679
Pages: 3
Category: Business and Industry
Date Submitted: 12/15/2011 03:41 PM
Objectives:
Objectives
• Evaluation of prices of Panasonic Plasma TVsets in category of large screens (37-65 inches) ü Sampling ü Determination of main price driving factors ü Price and factors analyzing by means of the multiple linear regression modeling • Proposal of new product
Sampling
² Product category (population of interest): Panasonic Plasma TV-sets with screen-sizes 37-65 inches. Sample of 25 items. Data were taken from “Google products” Internet service. ² Product category was divided on several groups according to their price and randomly choosing samples in numbers according to relative size of each group.
Stratified samples: 1000 - 2000 EUR - 10 samples (42% of represented TV-sets) 2000 - 4000 EUR - 10 samples (40%) 4000 - … EUR - 5 samples (18%)
Main price drivers
According to my first estimation most important factors of the price could be:
• • • • Dynamic contrast ratio (2-50 mil) Availability of 3D effect (68% of samples) Availability of audio system (48% of samples) Screen size
Amount TV-sets according to their screen size
Price,
EUR
1000-‐2500
2500-‐…
Screen
size
37-‐42
inches
50
inches
50-‐55
inches
58-‐60
inches
65
inces
Amount
7
3
6
6
3
Price and factors analyzing
Statistical characteristics of price
Average
Min
price
Max
price
IQR
Standard
deviaCon
2641.186047
1034.883721
6460.930233
2262.063953
1416.373236
Regression model
Dependent variable: price Initial independent variables: Screen size - SS Dynamic contrast ratio - DC 3D effect (0/1 “dummy” variable) – 3D Availability of audio system (0/1 “dummy” variable) - AS P-value of AS was 0,75 and this factor worsened results of other ratios. Therefore AS was excluded.
Summary of regression analysis
Thus the function is price = b0 + b1 * SS + b2 * DC + b3 * 3D...