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EXPONENTIAL SMOOTHING | FULL QUESTION SOLVED STEP-BY-STEP

📊 EXPONENTIAL SMOOTHING | FULL QUESTION SOLVED STEP-BY-STEP 🔍

In this detailed video, we dive into Exponential Smoothing, one of the most powerful techniques used in Time Series Forecasting.

🎯 What You’ll Learn:
✅ What is Exponential Smoothing and why it’s used
✅ The Exponential Smoothing formula:
  Forecast = α × Actual + (1 – α) × Previous Forecast
✅ Choosing a suitable smoothing constant (α)
✅ Solving a full question step-by-step
✅ Comparing forecasted values to actual data
✅ Practical interpretation of results

💡 Ideal for students studying Statistics, Econometrics, Data Analysis, or preparing for business and finance exams.

🔁 This method works best for data with no strong trend or seasonality — learn when and how to apply it effectively!

👍 Like, SUBSCRIBE, and hit the 🔔 bell for more tutorials on Time Series, Forecasting, and Applied Statistics!

📝 Got questions or need a custom explanation? Drop a comment — I’ll respond!

#ExponentialSmoothing #TimeSeriesAnalysis #Forecasting #DataAnalysis #Statistics #SmoothingTechniques #QuantitativeMethods

Видео EXPONENTIAL SMOOTHING | FULL QUESTION SOLVED STEP-BY-STEP канала Apex Grace
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