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Part 4: Water Evaporation in the Growing Season in India Dataset: h20_evap.dat Source: A. Krishnan and R.S. Kushwaha (1973). A Multiple Regression Analysis of Evaporation
Part 4: Water Evaporation in the Growing Season in India Dataset: h20_evap.dat Source: A. Krishnan and R.S. Kushwaha (1973). "A Multiple Regression Analysis of Evaporation During the Growing Season of Vegetation in the Arid Zone of India," Agricultural Meteorology, Vol. 12, pp. 297-307 Description: Factors related to Evaporation (mm/day) for 49 5-day periods in 1963-1964. Predictors: total global radiation (X1, cal/cm 2/day), estimated net radiation (X2, cal/cm 2/day), saturation deficit at max temp (X3, mm of Hg), mean daily wind speed (X4 km/hour) and saturation deficit at mean temp (X5, mm of Hg). Models fit: Y=X1,X3,X4 and Y=X2,X3,X4 Variables/Columns Period 7-8 Evaporation 10-16 total global radiation 18-24 net radiation 26-32 saturation deficit at max temp 34-40 wind speed 42-48 saturation deficit at mean temp 50-56 Fit the model relating Evaporation to Total global radiation, Saturation deficit at max temp, and wind speed. A. See whether a Box-Cox Transformation on Evaporation improves Normality B. If necessary, transform Evaporation, and re-fit the model. C. Conduct the Durbin-Watson Test, to test Ho: Errors are independent. D. Obtain Estimated Generalized Least Squares estimates of the Regression Coefficients, and t-tests
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