deration for the oil industry. DS 12.2.1 contains costs and the depths of 16 offshore oil wells loca Philippines (taken from “Identifying the major ninants of exploration drilling costs: A first ximation using the Philippine case" by Gary S. siar, Energy Exploration and Exploitation, 1985) ta linear regression model with cost as the depenc riable and depth as the explanatory variable. hat does your model predict as the cost increase additional depth of 1000 feet? That cost would you predict for an oil well of 10, et depth? hat is the estimate of the error variance? hat could you say about the cost of an oil well o

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Oil Well Drilling Costs
Estimating the costs of drilling oil wells is an important
consideration for the oil industry. DS 12.2.1 contains the
total costs and the depths of 16 offshore oil wells located
in the Philippines (taken from “Identifying the major
determinants of exploration drilling costs: A first
approximation using the Philippine case" by Gary S.
Makasiar, Energy Exploration and Exploitation, 1985).
(a) Fit a linear regression model with cost as the dependent
variable and depth as the explanatory variable.
(b) What does your model predict as the cost increase for
an additional depth of 1000 feet?
(c) What cost would you predict for an oil well of 10,000
feet depth?
(d) What is the estimate of the error variance?
(e) What could you say about the cost of an oil well of
depth 20,000 feet?
Transcribed Image Text:Oil Well Drilling Costs Estimating the costs of drilling oil wells is an important consideration for the oil industry. DS 12.2.1 contains the total costs and the depths of 16 offshore oil wells located in the Philippines (taken from “Identifying the major determinants of exploration drilling costs: A first approximation using the Philippine case" by Gary S. Makasiar, Energy Exploration and Exploitation, 1985). (a) Fit a linear regression model with cost as the dependent variable and depth as the explanatory variable. (b) What does your model predict as the cost increase for an additional depth of 1000 feet? (c) What cost would you predict for an oil well of 10,000 feet depth? (d) What is the estimate of the error variance? (e) What could you say about the cost of an oil well of depth 20,000 feet?
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