This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: S8-2It might be supposed that rainy days would tend to be cooler than days without rain, other factors being equal. Furthermore, if that rain is widespread enough to affect more than one reporting station in a city, the effect might be expected to be even more pronounced.The following output from the Excel Analysis ToolPak, shows a regression analysis on a year of Houston weather data. Precipitation data were collected for George Bush International Airport (KIAH) and for Hobby Airport (KHOU), coded as 1 for precipitation and 0 for no precipitation. These values were used as "binary predictors". The dependent variable is the departure of the daily high temperature from the 30 year normal for the date. So, for example, a day with a high temperature two degrees below normal would be shown as a departure value of -2.0.Regression StatisticsMultiple R0.1768R Square0.0313Adjusted R Square0.0258Standard Error6.8608Observations360ANOVAdfSSMSFSignificance FRegression2542.19271.105.75940.0035Residual35716804.1647.0747....
View Full Document
This note was uploaded on 01/05/2012 for the course 101 melissa jo taught by Professor Acc101 during the Spring '11 term at Aarhus Universitet.
- Spring '11