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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 normality of error assumption appears to have been violated.
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 normality of error assumption appears to have been violated.
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 normality of error assumption appears to have been violated.
-Referring to Table 13-11, the normality of error assumption appears to have been violated.


Definitions:

Hans Selye

A pioneering Hungarian-Canadian endocrinologist known for his research on stress and the development of the General Adaptation Syndrome model.

Reactions

the responses or behaviors that result from some sort of stimulus or change in the environment.

General Adaptation Syndrome

A theoretical model describing the body's short-term and long-term reactions to stress, comprising of three stages: alarm, resistance, and exhaustion.

Physiological Exhaustion

This refers to a state of extreme physical or mental fatigue usually resulting from prolonged stress or activity, leading to a diminished capacity for work or other activities.

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