TABLE 13-10
The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousands of dollars) for individual stores based on the number of customers who made purchases. A random sample of 12 stores yields the following results:

-Referring to Table 13-10, which is the correct null hypothesis for testing whether the number of customers who make purchases affects weekly sales?

Question

TABLE 13-10
The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousands of dollars) for individual stores based on the number of customers who made purchases. A random sample of 12 stores yields the following results:

-Referring to Table 13-10, which is the correct null hypothesis for testing whether the number of customers who make purchases affects weekly sales?

Quizplus · Accepted Answer

The null hypothesis for testing whether the number of customers who make purchases affects weekly sales is stated in terms of the beta coefficient for the number of customers (represented by X). The correct null hypothesis is H₀ : β₁ = 0, which states that the beta coefficient for X is zero, indicating that there is no linear relationship between the number of customers and weekly sales. Choice A involves a beta coefficient for a different variable not mentioned in the problem. Choice C involves a hypothesis about the population mean, which is not relevant to this problem. Choice D involves a hypothesis about the population correlation coefficient, which is also not relevant to this problem.

TABLE 13-10 the Management of a Chain Electronic Store Would Like to Like