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SCENARIO 14-20-B
You Are the CEO of a Dairy Company (X1)\left( X _ { 1 } \right)

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SCENARIO 14-20-B
You are the CEO of a dairy company. You are planning to expand milk production by purchasing
additional cows, lands and hiring more workers. From the existing 50 farms owned by the company,
you have collected data on total milk production (in liters) , the number of milking cows, land size (in
acres) and the number of laborers. The data are shown below and also available in the Excel file
Scenario14-20-DataB.XLSX.
MILK 84686 101876 103248 70508 76072 86615 87508 105195 120351 68658  SCENARIO 14-20-B You are the CEO of a dairy company. You are planning to expand milk production by purchasing additional cows, lands and hiring more workers. From the existing 50 farms owned by the company, you have collected data on total milk production (in liters) , the number of milking cows, land size (in acres)  and the number of laborers. The data are shown below and also available in the Excel file Scenario14-20-DataB.XLSX. MILK 84686 101876 103248 70508 76072 86615 87508 105195 120351 68658   You believe that the number of milking cows  \left( X _ { 1 } \right)  , land size  \left( X _ { 2 } \right)   and the number of laborers  \left( X _ { 3 } \right)   are the best predictors for total milk production on any given farm. -Referring to Scenario 14-20-B, which of the following is a correct interpretation for the r- square? A)  87.08% of the total variation in total milk production can be explained by the number of milking cows, the land size and the number of laborers after adjusting for the level of Significance B)  87.08% of the total variation in total milk production can be explained by the number of milking cows, the land size and the number of laborers holding constant the effect of all The independent variables. C)  87.08% of the total variation in total milk production can be explained by the number of milking cows, the land size and the number of laborers after adjusting for the number of Predictors and sample size. D)  87.08% of the total variation in total milk production can be explained by the number of milking cows, the land size and the number of laborers.
You believe that the number of milking cows (X1) \left( X _ { 1 } \right) , land size (X2) \left( X _ { 2 } \right) and the number of laborers (X3) \left( X _ { 3 } \right) are the best predictors for total milk production on any given farm.
-Referring to Scenario 14-20-B, which of the following is a correct interpretation for the r- square?


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