Trend Analysis — Key Methods

Key Methods

Principle of Data Continuity

Foundational

This principle posits that data points in a time series are not independent but are influenced by preceding observations. In CSAT, this means that the movement from one point to…

Principle of Relative Change

Foundational

This principle highlights the importance of percentage change over absolute change when comparing growth or decline, especially across different base values. A 10-unit increase…

Principle of Contextual Interpretation

Foundational

Data, especially trends, must be interpreted within its specific context. An upward trend in sales is positive, but an upward trend in pollution levels is negative. The time…