Trust in e-retailers. Electronic commerce (or

Chapter 12, Problem 150SE

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QUESTION:

Trust in e-retailers. Electronic commerce (or “e-commerce”) describes the use of electronic networks to simplify a business operation. With e-commerce, retailers now can advertise and sell their products easily over the Web. In Internet Research: Electronic NetworkingApplications and Policy (Vol. 11, 2001), Canadian researchers investigated the factors that impact the level of trustin Web e-retailers. Five quantitative independent variables were used to model level of trust (y):

\(x_1\) = ease of navigation on the Web site

\(x_2\) = consistency of the Web site

\(x_3\) = ease of learning the Web interface

\(x_4\) = perception of the interface design

\(x_5\) = level of support available to the user

a. Write a first-order model for level of trust as a function of the five independent variables.

b. The model, part a, was fit to data collected from = 66 visitors to e-retailers’ Web sites and yielded a coefficient of determination of \(R^2\) = .58. Interpretthis result.

c. Compute the F-statistic used to test the global utility of the model.

d. Using \(\alpha\ =\ .10\), give the appropriate conclusion for the test, part c.

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QUESTION:

Trust in e-retailers. Electronic commerce (or “e-commerce”) describes the use of electronic networks to simplify a business operation. With e-commerce, retailers now can advertise and sell their products easily over the Web. In Internet Research: Electronic NetworkingApplications and Policy (Vol. 11, 2001), Canadian researchers investigated the factors that impact the level of trustin Web e-retailers. Five quantitative independent variables were used to model level of trust (y):

\(x_1\) = ease of navigation on the Web site

\(x_2\) = consistency of the Web site

\(x_3\) = ease of learning the Web interface

\(x_4\) = perception of the interface design

\(x_5\) = level of support available to the user

a. Write a first-order model for level of trust as a function of the five independent variables.

b. The model, part a, was fit to data collected from = 66 visitors to e-retailers’ Web sites and yielded a coefficient of determination of \(R^2\) = .58. Interpretthis result.

c. Compute the F-statistic used to test the global utility of the model.

d. Using \(\alpha\ =\ .10\), give the appropriate conclusion for the test, part c.

ANSWER:

Step 1 of 5

F-statistic is a statistic used for acceptance or rejection of a null hypothesis. This is used through F-test results, which are used to analyze the hypothesis defined. F-statistic is compared with F critical value to arrive at the final result of whether to accept or reject the hypothesis.

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