“Autocorrelation is a statistical term that measures the similarity of values in a series, especially when those values are close together: Definition: The degree of similarity between a variable and a lagged version of itself over time. Types: There are two types of autocorrelation: spatial and temporal. Spatial autocorrelation is when values that are close together in space are more similar, while temporal autocorrelation is when values that are close together in time are more similar. Examples: For example, if it's rainy today, it's more likely to rain tomorrow than if it's clear today. , advertising style”

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