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Specifies how the trendline that smoothes out fluctuations in the data is calculated.
public enum TrendlineType
Exponential = 4Uses an equation y=ab^x to calculate that the least squares fit through points.
Linear = 1Uses the linear equation y = mx + b to calculate that the least squares fit through points.
Logarithmic = 0Uses the equation y = c ln x + b to calculate that the least squares fit through points.
MovingAvg = 5Uses a sequence of averages computed from parts of the data series. The number of points equals the total number of points in the series less the number specified for the period.
Polynomial = 2Uses an equation y = ax^6 + bx^5 + cx^4 + dx^3 + ex^2 + fx + g to calculate that the least squares fit through points.
Power = 3Uses an equation y = ax^b to calculate that the least squares fit through points.