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Figure: 2-4
-SBUs found in quadrant "A" (Figure 2-4) would be called
Pearson Correlation
A measure of the linear correlation between two variables, showing how closely the data fit to a line.
Pearson Correlation
A measure of the linear correlation between two variables X and Y, giving a value between +1 and -1 inclusive, where 1 is total positive linear correlation, 0 is no linear correlation, and -1 is total negative linear correlation.
Critical Values
Thresholds determined by the significance level of a test, marking the boundary within which the null hypothesis is accepted or rejected.
Pearson Correlation
A measure of the linear relationship between two continuous variables, ranging from -1 to 1, where 1 means a perfect positive correlation.
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