Please give an educated response to the following passage.

I will be the one to state the elephant in the room that the statistics problem in week six comes out of the left field and seems wildly emplaced to draw us into the learning objective of explaining the process for conducting contract negotiations and understanding the negotiation process. Is statistical work like this commonly placed on a contract representative, or do they have a team or department that helps with this? If I am the one tasked as the single point of failure for a statistical review, then my pursuit of work in the contracting and acquisition fields may be over before it starts. That said, I will attempt to give some value to this discussion this week while I sit on the shotty internet in a Japanese airport terminal.

The line of best fit provides a visual depiction relating two variables (x and y) that allows predictions about future values based on known values. R2 value (coefficient) evaluates the strength of the relationship between independent and dependent variables and compares the fit of the different models. The slope is generally depicted as the m in the equation y= mx+b. The slope is the change in the dependent variable (y) per unit of change in the independent variable (x). Using statistical terms, the Excel Forecast Tool can help you predict future base values by knowing the relationship between past values using the linear trend model. The linear trend models help predict future base trends based on that historical relationship for variables. It is beneficial in large data sets to forecast values over a specific time period quickly. Terry.