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In: Statistics and Probability

Cost Control 2: The Apex Corporation wants to improve its cost control program. Build a regression...

Cost Control 2: The Apex Corporation wants to improve its cost control program. Build a regression model to predict the total manufacturing cost per month (COST, measured in thousands of dollars) from the total production of paper per month in tons (PAPER), total machine hours used per month (MACHINE), total variable overhead costs per month in thousands of dollars (OVERHEAD), and the total direct labor hours used each month (LABOR). The data are contained in the worksheet named COST,HW8.  

COST PAPER MACHINE OVERHEAD LABOR
1102 550 218 112 325
1008 502 199 99 301
1227 616 249 126 376
1395 701 277 143 419
1710 838 363 191 682
1881 919 399 210 751
1924 939 411 216 813
1246 622 248 124 371
1255 626 259 127 383
1314 659 266 135 402
1557 740 334 181 546
1887 901 401 216 655
1204 610 238 117 351
1211 598 246 124 370
1287 646 259 127 387
1451 732 286 155 433
1828 891 389 208 878
1903 932 404 216 660
1997 964 430 233 694
1363 680 271 129 405

(a) What is the sample-based model coefficient for machine hours? Hint: Be mindful of the measurement units. (Enter your answers to two decimal places.)

$ ___

(b) State the appropriate test statistic name, degrees of freedom, test statistic value, and the associated p-value (Enter your degrees of freedom as a whole number, the test statistic value to three decimal places, and the p-value to four decimal places).

t (15) = ___ , p = ___

(c) Construct a 95% confidence interval estimate of the true marginal cost associated with total machine hours. (Round your answers to three decimal places.)

( $ ___ , $ ___ )

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