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Linear regression analysis is easily the most extensively utilized analytical means of all: it's the analysis study of linear, additive connections in between variables. Allow Y stand for the “dependent” variable whose values you would like to forecast, and let X1, …, Xk signify the “independent” variables from which you wish to foresee it, with the price of variable Xi in length t (or in row t of the information established) represented by Xit. The formulation for calculating the expected value of Yt is:
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