6/26/2023 0 Comments Openoffice calc graph forecast![]() ![]() So this form would be appropriate if, when you plotted a graph of Y and X, you tended to see the points roughly form along a straight line (as compared to having a curvilinear relationship). Notice that this simple equation denotes a "linear" relationship between X and Y. The simplest regression analysis models the relationship between two variables uisng the following equation: Y = a + bX, where Y is the dependent variable and X is the independent variable. For forecasting purposes, knowing the quantified relationship between the variables allows us to provide forecasting estimates. Thus, if we assume that the amount of advertising dollars spent on a product determines the amount of its sales, we could use regression analysis to quantify the precise nature of the relationship between advertising and sales. The values of the independent variable are typically those assumed to "cause" or determine the values of the dependent variable. sales) to be forecast and one independent variable. In simple regression analysis, there is one dependent variable (e.g. Regression analysis is a statistical technique for quantifying the relationship between variables. ![]()
0 Comments
Leave a Reply. |