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Exact(10)
This indicates that the regression is significant.
This value indicates that the regression line nearly fits the perfectly.
An R2 of 1 indicates that the regression line perfectly fits the data.
The low p value indicates that the regression model can predict Δp from the designed factors with 99.88 % confidence.
A correlation coefficient of 1 indicates that the regression line perfectly fits the data (Steel and Torrie 1960).
The coefficient of determination is 0.817 and R2 is 0.667, which indicates that the regression is statistically significant.
Similar(50)
The coefficients of variation (R2) are extremely close to 1, which indicates that the regressions fit the data well.
These results indicated that the regression models were statistically significant.
The results indicated that the regression models of experimental responses were statistically significant.
The obtained p-value of 0.000 indicated that the regression model was significant.
The coefficient of the regression model (R2) was 0.9995, which indicated that the regression model was statistically significant.
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