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

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SCENARIO 14-20-A
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-DataA.XLSX.
S  SCENARIO 14-20-A 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-DataA.XLSX. S   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-A, the null hypothesis should be rejected at a 10% level of significance when testing whether the number of milking cows has any effect on the total milk production while holding constant the effect of the other independent variables.
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-A, the null hypothesis should be rejected at a 10%
level of significance when testing whether the number of milking cows has any effect on the total
milk production while holding constant the effect of the other independent variables.


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