Predictive Trend Forecasting with Machine Learning Integration

Construct a predictive trend forecasting model that integrates basic machine learning regression techniques directly within spreadsheet environment. Develop an algorithmic approach that can automatically detect seasonal patterns, calculate confidence intervals, and generate forward-looking predictions with error margin visualization. Include multiple regression model options and automated model selection based on data characteristics.