The relationship between commercial airtime minutes and an advertiser's profits is given by the least squares regression equation:
y = 5113.84*x + 406,755
What is the predicted change in profits for each 10 minute increase in airtime?
$457,893.40 |
$ 51,138.40 |
$411,868.84 |
$ 5,113.84 |
Seismic tremors causing minor fluctuations in a delicate process may be an example of:
an assignable cause of variation |
an external failure |
statistical process control (SPC) |
a common cause of variation |
This is the question plz help
If the equation is y=5113.84x+406755
Which means for each minute's increase, the profits change by 5113.84
And so for each 10 minutes, the profits increase by
Seismic tremors causing minor fluctuations in a delicate process may be an example of:
An assignable caused of variation because we know a change occured due to an identifiable external factor
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