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Which characteristic of a data set makes a linear regression model unreasonable? a slope close to 0 a correlation coefficient close to 0 a slope close to –1 a correlation coefficient close to –1
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If the data are not correlated (i.e. correlation coef=0), then creating a prediction model as a function of totally independent data has no value.
Can you dumb it down for me?
So if your data are like this, uncorrelated: |dw:1376629120185:dw| And you try to create a regression model from it like this:
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