Draw a scatterplot of the response versus the predictor, and describe any pattern you might see in the plot. Use statistical software to fit the regression of the response on the predictor. Add the...


Draw a scatterplot of the response versus the predictor, and describe any pattern you might see in the plot.


Use statistical software to fit the regression of the response on the predictor. Add the fitted line to your graph. Test the slope to be 0 against a two-sided alternative, and summarize your results.


Compute or obtain from your computer output the value of the variability in winter explained by fall and explain what this means.


Divide the data into 2 time periods, an early period from 1900 to 1989, and a late period from 1990 to 2010. You can do this using the variable year in the data file. Are the results different in the two time periods?




May 06, 2022
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