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TABLE 13-11 A Computer Software Developer Would Like to Use the Number

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TABLE 13-11
A computer software developer would like to use the number of downloads (in thousands) for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars) he can make on the full version of the new shareware. Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:
TABLE 13-11 A computer software developer would like to use the number of downloads (in thousands) for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars) he can make on the full version of the new shareware. Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:            -Referring to Table 13-11, the null hypothesis for testing whether there is a linear relationship between revenue and the number of downloads is  There is no linear relationship between revenue and the number of downloads.
TABLE 13-11 A computer software developer would like to use the number of downloads (in thousands) for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars) he can make on the full version of the new shareware. Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:            -Referring to Table 13-11, the null hypothesis for testing whether there is a linear relationship between revenue and the number of downloads is  There is no linear relationship between revenue and the number of downloads.
TABLE 13-11 A computer software developer would like to use the number of downloads (in thousands) for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars) he can make on the full version of the new shareware. Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:            -Referring to Table 13-11, the null hypothesis for testing whether there is a linear relationship between revenue and the number of downloads is  There is no linear relationship between revenue and the number of downloads.
-Referring to Table 13-11, the null hypothesis for testing whether there is a linear relationship between revenue and the number of downloads is "There is no linear relationship between revenue and the number of downloads."


Definitions:

Laptop Computers

Portable personal computers with a clamshell form factor, suitable for mobile use and equipped with advanced computing capabilities.

Income Effect

The variation in a person's or an economy's earnings and the impact of this variation on the demand for a specific product or service.

Substitution Effect

The change in consumption patterns due to a change in relative prices, leading consumers to substitute one product for another.

Diminishing Marginal Utility

The principle stating that as a person consumes more of a good, the additional satisfaction derived from consuming an additional unit lessens.

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