Investor Education Polynomial Regression

Financial Indicator

Investors can use prediction functions to forecast Investor Education historic prices and determine the direction of FILTER future trends based on various well-known forecasting models. However looking at historical price movement exclusively is usually misleading. Macroaxis recommends to always use this module together with analysis of Investor Education historical fundamentals such as revenue growth or operating cash flow patterns. See also Investing Opportunities.
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Investor Education polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for FILTER as well as the accuracy indicators are determined from the period prices.
A single variable polynomial regression model attempts to put a curve through the Investor Education historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm