Answer: B. Seasonal variation and Trend

Explanation:
In time series analysis, the most commonly estimable components are Trend (the long-term movement in data) and Seasonal variation (regular, periodic fluctuations). These are typically estimated using techniques like moving averages or regression analysis, while random movements and cyclic variations are often harder to estimate or separate from the trend and seasonality.