An ag-focused analyst conducts a linear regression that identifies a model that predicts how many pigs (Pig Count) can fit safely within an 18-foot trailer. This model includes three variables: Average Pig Weight, Temperature, Gender (shipments are either all female or all male), and Species (whether Yorkshire, Chester, or Duroc) and, based on the analysis, looks like this:
Pig Count = 80 - .2 * Average Pig Weight - .1 * Temperature + 7 * IsFemale - 4 * Yorkshire + 9 * Duroc
How many pigs would you expect to fit on the truck if the pigs averaged 100 pounds, the temperature was 50 degrees, and the pigs were all female Chesters? (You can use a calculator/Excel for this.)
Result:
An ag-focused analyst conducts a linear regression that identifies a model that predicts how many pigs (Pig Count) can fit safely within an 18-foot trailer. This model includes three variables: Average Pig Weight, Temperature, Gender (shipments are either all female or all male), and Species (whether Yorkshire, Chester, or Duroc) and, based on the analysis, looks like this:
Pig Count = 80 - .2 * Average Pig Weight - .1 * Temperature + 7 * IsFemale - 4 * Yorkshire + 9 * Duroc
How many pigs would you expect to fit on the truck if the pigs averaged 100 pounds, the temperature was 50 degrees, and the pigs were all female Chesters? (You can use a calculator/Excel for this.)
Given:
Pig Weight=100, Temperature=50, All female, Chesters( Yorkshire=0 and Durac=0)
Predicted Pig Count = 80 - .2 * 100 - .1 * 50 + 7 * 1- 4 * 0 + 9 *0
= 62
we expect to fit 62 pigs on the truck.
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