How to build and use Simple Time Series Models?

Given the following tasks in an internet business setting, determine which forecasting technique is most suitable for each:

Task I: Estimating next month's website traffic based on historical traffic data.

Task II: Predicting whether a new email campaign will lead to an increase in subscriber engagement.

Task III: Forecasting yearly sales trends based on multi-year sales data, considering seasonal variations.

Task IV: Determining the impact of customer demographics on purchasing behavior.

Match each task with the appropriate forecasting technique.

Choose the closest answer:

Task I - Time Series Models, Task II - Logistic Regression, Task III - Time Series Models with Seasonality, Task IV - Linear Regression.

Task I - Logistic Regression, Task II - Linear Regression, Task III - Time Series Models, Task IV - Moving Average.

Task I - Moving Average, Task II - Time Series Models, Task III - Logistic Regression, Task IV - Linear Regression.

Task I - Linear Regression, Task II - Time Series Models, Task III - Moving Average, Task IV - Logistic Regression.

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