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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
Research: Patents The following data are based on information from the Harvard Business Review (Vol. 72, No. 1). Let x be the number of different research programs, and let y be the mean number of patents per program. As in any business, a company can spread itself too thin. For example, too many research programs might lead to a decline in overall research productivity. The following data are for a collection of pharmaceutical companies and their research programs:
|
x |
10 |
12 |
14 |
16 |
18 |
20 |
|
y |
1.8 |
1.7 |
1.5 |
1.4 |
1 |
0.7 |
Complete parts (a) through (e), given Σx = 90, Σy = 8.1, Σx2= 1420,Σy2= 11.83, Σxy = 113.8, and r ≈ -0.973.
(f) Suppose a pharmaceutical company has 15 different research programs. What does the least-squares equation forecast for mean number of patents per program?
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