2016年5月30日
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This presentation is ONLY to serve as an initial to be discussed with.
With visible market price and product characteristic, we may infer how the market price them:
## Estimate Std. Error t value Pr(>|t|) ## VP1 1.291425 0.2497272 5.171344 1.394806e-06 ## VP2 2.505076 0.0994080 25.199940 1.501177e-42 ## VP3 3.938515 1.8578611 2.119919 3.676517e-02 ## VP4 4.679527 0.1903676 24.581531 1.060994e-41 ## VP5 4.808588 0.5849825 8.220054 1.432470e-12 ## VP6 7.715648 1.2185446 6.331855 9.305832e-09 ## VP7 8.154845 1.0988409 7.421315 6.246645e-11 ## VP8 7.957170 1.1103416 7.166416 2.051694e-10 ## VP9 10.481302 1.0645931 9.845360 5.986639e-16
This is to answer:
- How the VPs move around in the future
In this example, VP9 will be our first choice for its high potential price charged and relative low competition.
Variance do matter. Any variance may reveal assumption or environment changes
The main purpose of this process is to force us to think customers, competitors and us simultaneously in the customer eyes.
Several factors may attribute to the failure: