Linear Correlation and Regression
with Graph Optimized for Macintosh with Internet Explorer
The logic and computational details of correlation and regression are described in Chapter 3 of Concepts and Applications. |
| Data Cells | Import/Export Box Pairs | X | Y | Residuals | Xa and Xb |
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| Values | X | Y | XY
| n | sum | mean |
| sumsq | SS |
| variance |
Variances and standard | deviations are calculated with denominator=n-1. standard | deviation | ||||||||||||||||||
| r | r2 | Slope | Y Intercept | Standard Error |
| t | df |
| P | one-tailed | | two-tailed
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| before performing a new analysis. | ||||||||||
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