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Linear Regression vs. Multiple Regression Example . Consider an analyst who wishes to establish a relationship between the daily change in a company's stock prices and daily changes in trading volume.
Figure 1: The results of multiple linear regression depend on the correlation of the predictors, as measured here by the Pearson correlation coefficient r (ref. 2). ( a ) Simulated values of ...
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