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Testing is the fourth phase in the SDLC.
Mean Squared Error
A measure of the average squared difference between the estimated values and what is estimated, often used in statistics and machine learning to assess the accuracy of models.
Coefficient of Correlation
A statistical measure that indicates the extent to which two variables fluctuate together. A higher coefficient suggests a stronger relationship.
Overall Error
Overall Error encompasses the total inaccuracies or deviations from a standard or expected outcome, combining both systematic and random errors.
Negative Regression Slope
A negative regression slope indicates an inverse relationship between two variables in statistical modeling, where an increase in one variable results in a decrease in another.
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