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Learn About Time Series Cross-Correlations in SPSS With Data From EPA’s Air Quality System Data Mart (2017)
By: Feng Shi & The Odum Institute
Published: 2019 | Product: SAGE Research Methods Datasets Part 1
This dataset is designed for teaching the cross-correlation between two time series variables. The dataset is a subset of data derived from the EPA’s Air Quality System Data Mart, and the example examines the cross-correlation between the level of PM2.5 and the level of ozone in the New York county in the United States in 2017. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for SPSS.
Data Type:
Numeric
Software Guide:
SPSS
SPSS
