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PSAGOT ETF ETF Forecast - Polynomial Regression

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Investors can use prediction functions to forecast PSAGOT ETF historic stock prices and determine the direction of PSAGOT ETF TA SECT 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 PSAGOT ETF historical fundamentals such as revenue growth or operating cash flow patterns. Check out Your Equity Center.
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PSAGOT ETF polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for PSAGOT ETF TA SECT 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 PSAGOT ETF 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