Linear Growth
Constant rate of change. Best for steady trends like monthly revenue or temperature increases.
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Демо-данные
Day of month → Temperature (°C)
Точки Данных6
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Точки Данных
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Часто Задаваемые Вопросы
Extrapolation is the process of estimating unknown values by extending a known sequence of values beyond the range of observed data. It involves using mathematical models to predict future or past values based on existing trends.
Linear extrapolation uses a straight line to extend the trend of existing data points. It assumes a constant rate of change and works best when the data follows a linear pattern.
Exponential extrapolation assumes that the data grows at a rate proportional to its current value, resulting in a curve that increases increasingly rapidly. It is commonly used for population growth and compound interest calculations.
The accuracy of extrapolation depends on how well the chosen model fits the data and how far beyond the observed range you predict. The R² score and confidence level provided by our calculator help you assess reliability.
R² (coefficient of determination) measures how well the regression model fits the observed data. Values range from 0 to 1, where 1 indicates a perfect fit and 0 means the model explains none of the variance.
No. All calculations are performed entirely in your browser. Your data never leaves your device, and we do not store any personal information or calculation inputs on our servers.