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SCENARIO 13-11
a Computer Software Developer Would Like to Use H1:b1=0H _ { 1 } : b _ { 1 } = 0

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SCENARIO 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:  SCENARIO 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 Scenario 13-11, which of the following is the correct alternative hypothesis for testing whether there is a linear relationship between revenue and the number of downloads? a)  H _ { 1 } : b _ { 1 } = 0  b)  H _ { 1 } : b _ { 1 } \neq 0  c)  H _ { 1 } : \beta _ { 1 } = 0  d)  H _ { 1 } : \beta _ { 1 } \neq 0  SCENARIO 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 Scenario 13-11, which of the following is the correct alternative hypothesis for testing whether there is a linear relationship between revenue and the number of downloads? a)  H _ { 1 } : b _ { 1 } = 0  b)  H _ { 1 } : b _ { 1 } \neq 0  c)  H _ { 1 } : \beta _ { 1 } = 0  d)  H _ { 1 } : \beta _ { 1 } \neq 0  SCENARIO 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 Scenario 13-11, which of the following is the correct alternative hypothesis for testing whether there is a linear relationship between revenue and the number of downloads? a)  H _ { 1 } : b _ { 1 } = 0  b)  H _ { 1 } : b _ { 1 } \neq 0  c)  H _ { 1 } : \beta _ { 1 } = 0  d)  H _ { 1 } : \beta _ { 1 } \neq 0
-Referring to Scenario 13-11, which of the following is the correct alternative hypothesis for testing whether there is a linear relationship between revenue and the number of downloads? a) H1:b1=0H _ { 1 } : b _ { 1 } = 0
b) H1:b10H _ { 1 } : b _ { 1 } \neq 0
c) H1:β1=0H _ { 1 } : \beta _ { 1 } = 0
d) H1:β10H _ { 1 } : \beta _ { 1 } \neq 0


Definitions:

Kernel

The essential component of the operating system that’s responsible for managing the processor and all other components of the computer system. Because it stays in random access memory (RAM) the entire time the computer is powered on, the kernel is called memory resident.

Operating System

The software that manages all the hardware and other software on a computer, acting as an intermediary between users and the computer hardware.

Functionality

The set of actions or operations that something is designed or able to perform.

Process

A series of actions or steps taken in order to achieve a particular end, especially in the context of computing or manufacturing.

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