tempproddayspersonswater58.8710721129306765.2637322141282870.9679622153289177.4920820166299479.314792251933082811456423189389871.91196420175350263.91352623186306054.51265620190321139.51411920187328644.51669122195354243.614571192063125561361922198302264.714575221922922731455621191395078.91857321200448879.415618222003295 A production plant cost-control engineer is responsible for cost reduction. One of the costly items in theplant is the amount of water used by the production facilities each month. The engineer decides to investi-gate water usage by collecting seventeen observations on the plant's monthly water usage (in gallons) andother variables. Run a regression where water usage is the dependent variable and temperature (averagemonthly temperature in Fahrenheit), production in 1000 pounds, days (Number of plant operating days inthe month), and persons (Number of persons on the monthly plant payroll) are independent variables. Inter-pret all relevant output.

The null and alternative hypotheses are stated below:Null hypothesis: The model is…

Answered: A production plant cost-control…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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temp	prod	days	persons	water
58.8	7107	21	129	3067
65.2	6373	22	141	2828
70.9	6796	22	153	2891
77.4	9208	20	166	2994
79.3	14792	25	193	3082
81	14564	23	189	3898
71.9	11964	20	175	3502
63.9	13526	23	186	3060
54.5	12656	20	190	3211
39.5	14119	20	187	3286
44.5	16691	22	195	3542
43.6	14571	19	206	3125
56	13619	22	198	3022
64.7	14575	22	192	2922
73	14556	21	191	3950
78.9	18573	21	200	4488
79.4	15618	22	200	3295

A production plant cost-control engineer is responsible for cost reduction. One of the costly items in the
plant is the amount of water used by the production facilities each month. The engineer decides to investi-
gate water usage by collecting seventeen observations on the plant's monthly water usage (in gallons) and
other variables. Run a regression where water usage is the dependent variable and temperature (average
monthly temperature in Fahrenheit), production in 1000 pounds, days (Number of plant operating days in
the month), and persons (Number of persons on the monthly plant payroll) are independent variables. Inter-
pret all relevant output.

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