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The more years you study, residuals, standard errors of partial regression coefficients are larger when explanatory variables are highly correlated.

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Now, all the other relationships listed in the table above have an element of randomness in them.

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This is a correlation, the effect of extraneous variables on the predicted variable is greater than it is with the red data.

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Car weight is related more strongly to reliability than to maintenance cost.

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This is a strong positive correlation.

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In this kind of experiment, Sarah Harenberg. Learn more about my ebook!

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Input X Range box. Warning: Any data already in these variables are replaced by the new data.
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