Buying an item sight unseen on the Internet requires a significant amount of trust in the...
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Buying an item sight unseen on the Internet requires a significant amount of trust in the seller. Consider this hypothesis: Potential buyers tend to scrutinize the offers posted by sellers with poor reputations more than they do the offers posted by sellers with neutral or good reputations. As a result, if buyers notice a surcharge (such as a shipping fee) levied by a seller with a poor reputation, they reduce the (presurcharge) price they are willing to pay for the item. On the other hand, a surcharge does not affect buyers' (presurcharge) willingness to pay for an item offered by a seller with a neutral or a good reputation. Amar Cheema tested this hypothesis, which was described in a June 2008 paper entitled "Surcharges and Seller Reputation" and published in the Journal of Consumer Research. Cheema collected data on 271 completed eBay auctions for three DVD trilogies: The Godfather, The Lord of the Rings, and Star Wars. For each auction, Cheema recorded the winning bid, the surcharge, and the seller's eBay feedback score. Then he partitioned the 271 auctions into three almost equal- sized samples based on the seller's feedback score. The following is a simple linear regression model estimated for each group: y where y BO+B1x + E, winning bid (in dollars), and x = shipping cost (in dollars). The following equation lists the estimation results obtained for the sample of 91 low-reputation sellers: The estimated regression equation: 9=34.44-1.11x SSR: 378 SSE: 2,853 (Note: These results do not exactly duplicate Cheema's results but are representative of the Cheema study.) Y The mean square due to error (MSE) s² is an unbiased estimator of o², the variance of the error variable & in the regression model. In this regression analysis, the MSE equals , and the standard error of estimate equals Hint: For the next question, Σ(xi-x)²= (n - 1)(sample variance of shipping cost). The sample variance of shipping costs for the auctions in the sample is 3.39. A different sample of eBay auctions cannot be expected to provide the same value of b, as the current sample. So b₁ is a random variable. Its sampling distribution has an estimated standard deviation of A different sample of eBay auctions cannot be expected to provide the same value of b₁ as the current sample. So b₁ is a random variable. Its sampling distribution has an estimated standard deviation of Use the Distributions tool to help you answer the questions that follow. t Distribution Degrees of Freedom = 80 O ^ m The regression model specifies that winning bid and shipping cost are linearly related. Conduct at test (at the significance level a = 0.10) for a significant linear relationship between shipping cost and winning bid when the seller has a low reputation. The value of the test statistic is , and you conclude that there is a significant linear relationship between shipping cost and winning bid. The result of the significance test consistent with the notion that buyers pay attention to a surcharge when it is levied by a low-reputation seller. The 90% confidence interval estimate of B₁ is 2 to Since 0 is in the confidence interval, you significant linear relationship between shipping cost and winning bid. This result a low-reputation seller. consistent with the notion that buyers pay attention to a surcharge when it is levied by The test statistic is I and you 7 relationship between shipping cost and winning bid. conclude that there is a Conduct an F test (at a significance level a = 0.10) of overall significance for the regression. (With 1 degree of freedom in the numerator and n - 2 = 91 - 2 = 89 degrees of freedom in the denominator, F = 2.763 provides an area of 0.10 in the upper tail.) conclude that there is a significant linear Buying an item sight unseen on the Internet requires a significant amount of trust in the seller. Consider this hypothesis: Potential buyers tend to scrutinize the offers posted by sellers with poor reputations more than they do the offers posted by sellers with neutral or good reputations. As a result, if buyers notice a surcharge (such as a shipping fee) levied by a seller with a poor reputation, they reduce the (presurcharge) price they are willing to pay for the item. On the other hand, a surcharge does not affect buyers' (presurcharge) willingness to pay for an item offered by a seller with a neutral or a good reputation. Amar Cheema tested this hypothesis, which was described in a June 2008 paper entitled "Surcharges and Seller Reputation" and published in the Journal of Consumer Research. Cheema collected data on 271 completed eBay auctions for three DVD trilogies: The Godfather, The Lord of the Rings, and Star Wars. For each auction, Cheema recorded the winning bid, the surcharge, and the seller's eBay feedback score. Then he partitioned the 271 auctions into three almost equal- sized samples based on the seller's feedback score. The following is a simple linear regression model estimated for each group: y where y BO+B1x + E, winning bid (in dollars), and x = shipping cost (in dollars). The following equation lists the estimation results obtained for the sample of 91 low-reputation sellers: The estimated regression equation: 9=34.44-1.11x SSR: 378 SSE: 2,853 (Note: These results do not exactly duplicate Cheema's results but are representative of the Cheema study.) Y The mean square due to error (MSE) s² is an unbiased estimator of o², the variance of the error variable & in the regression model. In this regression analysis, the MSE equals , and the standard error of estimate equals Hint: For the next question, Σ(xi-x)²= (n - 1)(sample variance of shipping cost). The sample variance of shipping costs for the auctions in the sample is 3.39. A different sample of eBay auctions cannot be expected to provide the same value of b, as the current sample. So b₁ is a random variable. Its sampling distribution has an estimated standard deviation of A different sample of eBay auctions cannot be expected to provide the same value of b₁ as the current sample. So b₁ is a random variable. Its sampling distribution has an estimated standard deviation of Use the Distributions tool to help you answer the questions that follow. t Distribution Degrees of Freedom = 80 O ^ m The regression model specifies that winning bid and shipping cost are linearly related. Conduct at test (at the significance level a = 0.10) for a significant linear relationship between shipping cost and winning bid when the seller has a low reputation. The value of the test statistic is , and you conclude that there is a significant linear relationship between shipping cost and winning bid. The result of the significance test consistent with the notion that buyers pay attention to a surcharge when it is levied by a low-reputation seller. The 90% confidence interval estimate of B₁ is 2 to Since 0 is in the confidence interval, you significant linear relationship between shipping cost and winning bid. This result a low-reputation seller. consistent with the notion that buyers pay attention to a surcharge when it is levied by The test statistic is I and you 7 relationship between shipping cost and winning bid. conclude that there is a Conduct an F test (at a significance level a = 0.10) of overall significance for the regression. (With 1 degree of freedom in the numerator and n - 2 = 91 - 2 = 89 degrees of freedom in the denominator, F = 2.763 provides an area of 0.10 in the upper tail.) conclude that there is a significant linear
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From the given information the simple linear regression model is y 3304043x SSR 7... View the full answer
Related Book For
Managerial Economics and Strategy
ISBN: 978-0134167879
2nd edition
Authors: Jeffrey M. Perloff, James A. Brander
Posted Date:
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