Answer:
Autocorrelations
Explanation:
Autocorrelation is a term in statistics, that describes the level of correlation between the two different time series, such that, it makes use of the same time series twice.
In other words, it is a mathematical representation, that measures the degree of correlation between the values of variables that are similar to each other, across time, space or other dimensions.
In this case, professor Horvat, was able to get results of the study through Autocorrelation because, the variables of the study are similar to each other.
