Regression Model Vs. Computerized Regression Routine
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What are the advantages and disadvantages of regression models in comparison to using a computerized regression routine? Give examples.
What types of economic relations do managers take an interest in? Give examples and explain why they are interesting to managers.
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The regression model versus computerized regression routines are examined.
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What are the advantages and disadvantages of regression models in comparison to using a computerized regression routine? Give examples.
The wording here is a bit off, since there is really no difference between regression, as such, and a "computerized regression routine." They are the same thing in that all regression analyses are computerized, automatic and use the same scores. I can only assume we're talking about different forms of regression, such as the distinction between linear and non-linear. I think that's correct because of the second question dealing with managers - they need non-linear approaches more commonly.
Your typical linear regression model deals with one dependent variable. Independent variables can be many, but the most important thing is to keep the nature of the variables separate. If the data overlaps, then the results will be useless (think of the relation between education and income - really, they are almost the same variable). However, methods such as "ridge" regression can bias the sample to remove the distortion caused by overlapping variables and/or data. Multiple regression, of course, refers to there being more than one independent variable. T-scores measure the significance of each independent variable, while the f-score measures the fit of the model as a whole. ...
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