Time series data is a type of data where each observation is recorded at a specific point in time and collected at regular intervals, allowing for analysis of changes or patterns over time. Regression analysis with time series data can be used to gain valuable insights into the behavior of complex systems, identify trends and patterns, and make informed decisions based on predictions. Time series regression helps understand the relationship between variables over time and forecast future values of the dependent variable. The process involves collecting and preparing the data, specifying a model, estimating it using statistical software, conducting diagnostic tests, interpreting the results, and potentially forecasting future values. This technique is valuable for analyzing temporal relationships in various industries, including finance, economics, engineering, and social sciences.