Regression Estimates (Combined)
It calculates estimated values using the selected curve regression based on the entered distribution table and plots a graph.
Interpreting the Correlation Coefficient r
0.7 < |r| ≤ 1 Strong correlation
0.4 < |r| < 0.7 Moderate correlation
0.2 < |r| < 0.4 Weak correlation
0 ≤ |r| < 0.2 No correlation
0.7 < |r| ≤ 1 Strong correlation
0.4 < |r| < 0.7 Moderate correlation
0.2 < |r| < 0.4 Weak correlation
0 ≤ |r| < 0.2 No correlation
| \(\normalsize\ Regression\\ (1)\ Linear:\hspace{75px} y=A+Bx\\ (2)\ Logarithmic:\hspace{30px} y=A+B\ln (x)\\ (3)\ e-Exponential:\hspace{10px} y=Ae^{Bx}\\ (4)\ ab-Exponential:\ y=AB^{x}\\ (5)\ Power:\hspace{78px} y=Ax^{B}\\ (6)\ Inverse:\hspace{73px} y=A+{\frac{B}{x}}\\ (7)\ Quadratic:\hspace{50px} y=A+Bx+Cx^2\\ \) |
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