Regression analysis includes any techniques for modeling and analyzing several variables together, the focus being on the relationship between a dependent variable and one or more independent variables.
Regression analysis helps us understand how the value of the dependent variable changes when any one of the independent variables is varied, while the other independent variables are held fixed. In short, a sensitivity analysis.
As had been discussed in last week's lecture on regression and time-series analysis, there are different methods to interpret a series. You can download the sample excel sheet (here) which will illustrate how to go about interpreting a regression series.
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