A poultry farmer that dabbles in statistics is interested in exploring the relationship between two types of feed, layer pellets and scratch, water, and the output of his laying hens. For ten days he records the number of ounces of layer pellets and scratch the hens consume and the number of fluid ounces of water and tracks the number of eggs that are produced. After running a multiple regression model, he obtains the following report. What is the best interpretation of these statistics?
Re Statistics
Multiple R 0.993633
R square 0.987307
Adjusted R Square 0.98096
Standard Error 0.213764
observations 10
A) 98.7% of the variability in egg production is explained by the amount of water,
B) The prediction of the amount of eggs is 98.7% accurate based on the amount of
C) The probability that the number of eggs is correctly predicted by the amount of
D) The prediction of the amount of eggs is 99.36% accurate based on the amount of scratch, and layer pellets consumed scratch, layer pellets, and water consumed scratch, layer pellets, and water consumed is 99.36% scratch, layer pellets, and water consumed
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A poultry farmer that dabbles in statistics is interested in exploring the relationship between two...
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