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Analysis of Gasoline Consumption using SAS: A Study of Variation, Study notes of Statistics

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.

Typology: Study notes

Pre 2010

Uploaded on 09/02/2009

koofers-user-k6q
koofers-user-k6q 🇺🇸

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Download Analysis of Gasoline Consumption using SAS: A Study of Variation and more Study notes Statistics in PDF only on Docsity! Example F5 SAS Program data auto; input driver 1. @; do car=1 to 5; input mpg @; output; end; datalines; 1 25.3 28.9 24.8 28.4 27.1 1 25.2 30.0 25.1 27.9 26.6 2 33.6 36.7 31.7 35.6 33.7 2 32.9 36.5 31.9 35.0 33.9 3 27.7 30.7 26.9 29.7 29.2 3 28.5 30.4 26.3 30.2 28.9 4 29.2 32.4 27.7 31.8 30.3 4 29.3 32.4 28.9 30.7 29.9 ; run; proc glm data=auto; class driver car; model mpg =driver car driver*car; random driver car driver*car/test; title 'Study of Variation in Gasoline Consumption'; run; SAS Output Study of Variation in Gasoline Consumption 1 The GLM Procedure Class Level Information Class Levels Values driver 4 1 2 3 4 car 5 1 2 3 4 5 Number of Observations Read 40 Number of Observations Used 40
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