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Which of the following statements about the importance of each competitive factor in determining company - to - company differences in branded sales volumes and

Which of the following statements about the importance of each competitive factor in determining company-to-company differences in branded sales volumes and market shares in a particular geographic region is false?
As the spread between the company with the region's highest S/Q rating and the company with the lowest S/Q rating becomes greater and greater, the stronger is the unit sales/market share impact of the differences in the S/Q ratings amon competing companies.
Big S/Q rating differences, big average wholesale price differences, and big differences in the number of models/styles offered in a region weigh heavily in accounting for company-to-company differences in branded pairs sold and market shar in all four regions.
Tiny cross-company differences in competitive effort on a highly influential competitive factor (like S/Q ratings, the number models/styles offered, and selling prices) nearly always have a far bigger impact on company sales/market share outcomes a region than do large differences on less influential competitive factors.
How much impact each of the 13 competitive factors have in determining each company's branded pairs sold and market share outcomes in a region is not a fixed amount but rather is an amount that varies from "big" (when there are "big" differences in rival company levels of competitive effort on a particular competitive factor) to "small" (when there are "small" differences in the competitive efforts of rival companies) to "zero" (when the competitive efforts that companies exert on any one factor are identical).
The closer to the all-company regional average is a company's price or S/Q rating or brand reputation or number of models (and so on) the smaller is the weighting/impact of that factor in accounting for why that company's regional unit sales/market share is above/below the region's all-company unit sales/market share averages.
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