Summary of Key Terms
- the mean of an estimate plus and minus the variation in that estimate.
- a model to forecast a variety of anticipated data points or data ranges including business data and future security prices.
- method of taking out fluctuations in a data series by subtracting the second data point from the first and the third from the second and so on.
- method of transforming time series data for a better fit by creating a weighted average.
- showing complex or noisy data as a series of trigonometric or exponential functions such as sine waves.
- repeating calculations on the same data to find the best fit.
- a receiver that displays a plot of power versus frequency.
- a basic method to calculate a regression line that is the sum of the squared errors is smaller than any other striaght line model.
- a method of using the average of past data to give new data forcasts.
- the result of an approximation involving one or more independant variables.
- the difference from sutracting the forcast or fitted values from the actual values.
- showing a set of sequenced data in the form of waves or oscillations.
- a number whose value may change in an equation or similar according to its practical use.
- the degree of spread in a data set obtained by taking the average of the squared deviations from the mean.
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