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Question

Louis Katz, a cost accountant at Papalote Plastics, Inc. (PPI), is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI. Louis's independent variable is production lot size (in 1,000's of units), and his dependent variable is the total cost of the lot (in $100's). Regression analysis of the data yielded the following tables.

CoefficientsStandard Errort Statisticp-value
Intercept3.9961.1612683.4410650.004885
x0.3580.1023973.4962050.004413

SourcedfSSMSF
Se = 0.898
Regression19.8587699.85876912.22345
r2 = 0.526341
Residual118.8720.806545


Total1218.73077




Louis's regression model is ________________.
a) y = -0.358 + 3.996x
b) y = 0.358 + 3.996x
c) y = -3.996 + 0.358x
d) y = 3.996 - 0.358x
e) y = 3.996 + 0.358x

Answer

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