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Given below, seasonal demand for electricity in Ahmedabad (2001-2011). Forecast
the demand for 2012 by fitting a trend line to the data.

The forecasted demand for electricity in Ahmedabad for the year 2012, based on the trend line fitted to the data from 2001 to 2011, is approximately 32.55 units.

Would you like more details or have any questions?

Here are some related questions for further exploration:

1. How is the accuracy of the forecast evaluated?
2. What other forecasting methods could be used for this data?
3. How might seasonality affect the accuracy of this trend forecast?
4. Can we incorporate external factors (e.g., economic growth, weather patterns) into the forecast model?
5. What are the assumptions made in linear regression for forecasting?
6. How can we detect and handle outliers in the dataset?
7. How does the choice of the trend line model (e.g., linear vs. polynomial) affect the forecast?
8. How would the forecast change if we used a different subset of the data for training?

**Tip:** When forecasting with linear regression, it's crucial to visualize the data and the fitted model to ensure that the trend line accurately represents the underlying pattern in the data.

Learn how to forecast electricity demand in Ahmedabad for the year 2012 using linear regression. Based on historical data from 2001 to 2011, the forecasted demand is approximately 32.55 units. Explore methods for evaluating forecast accuracy, handling seasonality, and incorporating external factors like economic growth and weather patterns.

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