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An analysis of gasoline consumption using sas software. The data is input using a sas program, which involves reading data from a datalines statement and creating a dataset. The data is then analyzed using the glm procedure to determine the effect of driver and car on gasoline consumption. The document also includes the output of the sas procedure, which displays the r-square, source of sum of squares, mean square, f value, and p-value. Additionally, a sas code snippet is provided to calculate a 95% confidence interval for the standard deviation of the error term.
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