Question

Fourier features as features into Regression models

Answer 1

Step-by-step explanation:

Regression method is a statistical method to know the relationship between dependent variable with independent variable. The data pattern corresponding to the Fourier approach is a repeatable data pattern, which is a repetition of the value of the dependent variable for different independent variables.

Answer 2

Answer:

The factors that are responsible for bringing about changes in a time series, also called the components of time series, are as follows:

1. Irregular Component : These are sudden changes occurring in a time series which are unlikely to be repeated.
2. Cyclic component : These are long term oscillations occurring in a time series
3. Trend Component : Trend is the main component of a time series.Trend may show the growth or decline in a time series over a long period.
4. Seasonal Component : These are short term movements occurring in data due to seasonal factors.