Learn about time series plots with fitted lines in SPSS with data from the NOAA Global Climate at a Glance (1910-2015) / The Odum Institute.
Material type:
TextPublisher: London : SAGE Publications, Ltd., 2017Description: 1 online resource : illustrationsContent type: - text
- computer
- online resource
- 9781473995406 (online resource) :
- 519.55
This dataset example introduces researchers to plotting a time series for a single variable and fitting both a straight line and a non-linear curve to the data. This example plots time on the horizontal axis and values of the variable in question on the vertical axis. Fitting lines to a time series plot allows researchers to observe graphically any general trends or patterns in the data while de-emphasizing fluctuation around those trends. This example uses a subset of data from the United States National Oceanic and Atmospheric Administration (NOAA) Climate at a Glance website. Understanding trends in global temperature will help researchers and policy makers better understand potential climate change and plan for its impact. The sample dataset used for this example has been cleaned and organized to make this example easier to follow. Interested readers should read the full documentation for the dataset before using it for research (https://www.ncdc.noaa.gov/cag/time-series/global).Direct Prerequisites: Time Series Plot, Simple Regression
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