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The activity is divided into seven parts, as follows: Part A: students access an online data set of historic global temperature anomalies and use the webpage to answer questions about the source and presentation of the data. Part B: students copy the data into an Excel spreadsheet and organize it so that it is easy for them to use and for others to follow. Part C: students graph their data, explore the use of trend lines, and use a linear regression line to predict future temperatures. Part D: students access an online data set of historic temperature anomalies within their latitude zone, analyze this data, and compare their results to those from Part C. Part E: students access an online data set of historic temperatures for their state, analyze this data, and compare their results to those from Parts C and D. Part F: students choose two original questions related to climate variability and use these or other data sets to address their questions. Part G: students evaluate the statistical significance of their linear regression lines and interpret their results in the context of climate variability
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