![]() (Please ignore the residual plots as they’re just used to show that a linear regression model is appropriate. The cushioning performance of a shoe is a significant contributing factor to the setting of a higher retail price, but so is lower traction performance. Tl dr Just because a shoe is highly priced doesn’t mean that it is a good overall performance shoe. This can be attested to by the fact that brand name-recognition, superstar athlete endorsements, signature shoes, exposure in major sports leagues, aesthetics, and other forms of gimmickry are used by brands to market shoes. Describe the process of building a multiple regresssion, checking for. Brands don’t appear to operate under the belief that consumers evaluate basketball shoes strictly on performance. Look at both micro and macro examples of regression uses in finance and investing. The adjusted R 2 value of 0.45929 suggests that less than 50% of the variance in MSRP can be accounted for by the performance attributes included. Furthermore, expensive shoes with worse traction may be intended for serious athletes who play on well-maintained indoor courts where grip is a non-issue. The overuse of pretty outsole materials (dust-attracting translucent rubber) rather than boring functional ones may also be a factor. The negative relation can be explained because for premium shoes such as signatures there tends to be a high amount of fuckery with traction patterns & materials due to the use of “story-telling” or non-performance pattern designs. Thus the worse the traction, the more expensive the shoe! Now this is quite surprising! However it actually shouldn’t be all that surprising. However for Traction, a decrease in 1 rating corresponds to an increase in price of $0.867. Better cushioning = more expensive shoe? Completely unsurprising as cushioning is a major gimmick we all know is used to market & tier shoes. This means that a ratings increase in Cushioning of 1 corresponds to an increase in ~$2.1 MSRP. Cushioning has a positive contribution (coefficient = 2.124), whereas Traction has a negative (coefficient = -0.867). rejected the null hypothesis that there is no contribution, p<0.05). ![]() What the regression results show is that only Cushioning and Traction attributes have a non-marginal contribution to MSRP (i.e. I currently have 89 shoes in my database and the only shoe I omitted here was the Nike Adapt BB, which is a clear outlier priced at $350 retail. I believe that these attributes account for most if not all the main performance attributes used by consumer to judge performance basketball shoes. I used my database of reviewer/consumer ratings on Traction, Cushion, Torsional Support, Weight & Ventilation, Durability, Lateral Stability, Lockdown as stand-ins for purely objective performance measurements. I wanted to check how much the performance attributes of a performance basketball shoe contributed to its retail price (MSRP).
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