Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more. |
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See also: autocorrelation function, scatter plot | |
Autocorrelation and Scatter PlotsAutocorrelation can easily be shown when one tries to plot the original value against a time-shifted copy of it. Look, for example, at the population of rabbits. The population shows a regular fluctuation within a period of 10 years. Plotting the rabbit data against itself with no time shift, of course results in a correlation coefficient of 1.0. A time shift of one year already produces a considerably lower correlation coefficient of 0.63. You should take a closer look at the relationship between the autocorrelation
function and the scatter plots by starting the DataLab .
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