Answer:
0.6
Step-by-step explanation:
Given the regression equation :
y = 0.2x + 3,
The actual value of y when x = 5 is 4.6
The predicted of y using the model when x = 5 is :
Put x = 5 in the equation :
y = 0.2(5) + 3
y = 1 + 3
y = 4
The error in the value of y predicted is :
Error = Actual value - Predicted value
Error = 4.6 - 4
Error = 0.6
$110,400 products this month because $48,000(230%)=$110,400.
Nine thousand four hundred thirty two
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