question 2
Multiple Choice
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow:
Month January February March April May June July August September October November December Machine Hours2,5002,9001,9003,1003,8003,3004,1003,5002,0003,7004,7004,200Electricity Costs$18,40021,00013,50023,00028,25022,00024,75022,75015,50026,00031,00027,750
Summary Output Regression Statistics Multiple R R Squuare Adjusted R 2 Standard Error Observations 0.9650.9320.9251,425.1812.00
Intercept Machine Hours Coefficients 3,726.885.77 Standard Error 1,682.820.49 t Stat 2.2111.7 P-value 0.050.00 Lower 95%(22.69) 4.67 Upper 95%7,476.456.87
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If the controller uses regression analysis to estimate costs, the estimate of the variable portion of electricity costs is:
Definitions:
Hypothalamohypophysial Tract
A neural pathway connecting the hypothalamus to the pituitary gland, integral for the regulation of many bodily functions including stress, growth, and reproduction.
ADH
Antidiuretic Hormone, also known as vasopressin, a hormone that regulates water balance in the body by increasing water reabsorption in the kidneys.
Oxytocin
A hormone and neurotransmitter involved in childbirth and lactation, also associated with empathy, trust, sexual activity, and relationship-building.
Anterior Pituitary
The front part of the pituitary gland, which secretes hormones regulating various physiological processes, including growth and reproduction.