Louis Katz, a cost accountant at Papalote Plastics, Inc. (PPI), is analyzing the manufacturing costs of a molded plastic telephonehandset produced by PPI. Louis's independent variable is production lot size (in 1,000's of units), and his dependent variable is thetotal cost of the lot (in $100's). Regression analysis of the data yielded the following tables.InterceptSourceCoefficientsTotaldf113.996SSFRegression 1 9.858769 9.858769 12.22345Residual8.872 0.8065450.358Save for LaterStandard ErrorUsing a=0.05, Louis should12 18.73077O suspend judgmentO not reject Ho: Po=0O reject Ho: 1₁=0O increase the sample sizeO not reject Ho: 1-0p-value1.161268 3.441065 0.0048850.102397 3.496205 0.004413t StatisticMSSe = 0.898r² = 0.526341

In this case, the independent variable is the production lot size (x) and the dependent variable is…

Answered: Louis Katz, a cost accountant at…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2AGP

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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. Coefficients Standard Error t Statistic p-value Intercept 3.996 1.161268 3.441065 0.004885 x 0.358 0.102397 3.496205 0.004413 Source df SS MS F Se = 0.898 Regression 1 9.858769 9.858769 12.22345 r2 = 0.526341 Residual 11 8.872 0.806545 Total 12 18.73077 Using a = 0.05, Louis should ________________.
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