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The standard error estimate is computed as the square root ofthe mean squared error and it
is a standard deviation of the errors. It is therefore usefulfor to making a judgment about
The fit of regression model in conjunction with the assumptionthat __________.
the model is linear
the error terms have constant variance
the error terms are independent (see Wikipediadefinition)
the error terms are normally distributed
The standard error estimate is computed as the square root ofthe mean squared error and it
is a standard deviation of the errors. It is therefore usefulfor to making a judgment about
The fit of regression model in conjunction with the assumptionthat __________.
the model is linear | ||
the error terms have constant variance | ||
the error terms are independent (see Wikipediadefinition) | ||
the error terms are normally distributed |
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