Trend Analysis for Many VariablesPassing analysis is one of the Time Series Analysis for the changing caused by hours. For example, the data of products from the start of use to out of order. And the data of the change of the body from taking medicines.
In this page, the explanatory variable (X) is the hour.
If data set is made as like "first day, a month, three months", we can use them as Category Data .
By transforming each period into characters like , or sampling the time of just "1 day, 2 days, 3 days", we can use this approach.
Then some category data analysis like ANOVA and decision tree is useful to compare levels.
These methods answer the question, "Hours are related to the change?"
Some software of decision tree changes the data into levels automatically.
If we need a formulation, of "increasing" or "curve", regression analysis is useful.
When we use regression analysis, X is used as quantity data.
NEXT Trend Analysis for Many Variables
