Write me a discussion response to: Linear regression is to show two things that are related based on past data and making more accurate forecast decisions with data driven evidence which serves as a very useful resource management, it is also useful because it specifically allows me and others in my career field (USAF Finance) to predict future spendings based on data from previous quarters or fiscal years. For example, if I have records showing how much a unit spent each quarter for the past two years, I could use regression analysis to find the trend in that data. If the trend shows that spending increases by about 5% every quarter, the model can help estimate what next quarter's spending might look like. Linear regression helps because our budgets often depend on mission activity, travel, training, and other operational needs. By predicting how these cost change over time, it'd be easier to plan ahead and make sure we're allocating money where it needs to be efficiently, Instead of having any budget shortfalls or unexpected expenses to react to, we can prepare for them before it happens. For example, if every mission shows regression temp go up by 10% in travel expenses rise by $X, let's say $50,000. Then leadership can plan to set aside that additional amount in advance. This helps leadership and units to avoid overspending and ensures that there are resources available where they are most needed