Answer Posted / Shashank Shukla

A white noise model represents random fluctuations without any discernible pattern. In the context of time series analysis, it is often used as an error term in various models. To simulate white noise data in R, you can use the `arima.sim()` function with no specific parameters:nn```Rn set.seed(123)n white_noise <- arima.sim(n = 100, sd = 1)n```

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