Give a practical interpretation of the estimate of the  slope of the least squares line.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

An oil exploration company wants to develop a statistical model to predict the cost of drilling a new well. One of the many variables thought to be an important predictor of the cost is the number of feet in depth that the must be drilled to create the well. Consequently, the company decided to fit the simple linear regression model,   where y = cost of drilling the new well (in $thousands) and x = number of feet drilled to create the well. Using data collected for a sample of  n=83 wells, the following results were obtained:

    = 10.5 + 16.20x
   
Give a practical interpretation of the estimate of the  slope of the least squares line.

An oil exploration company wants to develop a statistical model to predict the cost of drilling a new well. One of the many variables thought to be an important predictor of the cost is the number of feet in depth that the must be drilled to create the well. Consequently, the company decided to fit the simple linear regression model,   where y = cost of drilling the new well (in $thousands) and x = number of feet drilled to create the well. Using data collected for a sample of  n=83 wells, the following results were obtained:

    = 10.5 + 16.20x
   
Give a practical interpretation of the estimate of the  slope of the least squares line.

a. For every one dollar cost increase, we expect the depth to increase by 16.2 feet.

b. For a well with a depth of 0 feet, we estimate the cost to be $10,500.

c. For each additional foot of depth drilled, we estimate the cost to increase by $10,500.

d. For each additional foot of depth drilled, we estimate the cost to increase by $16,200.

Expert Solution
Step 1

here given,

An oil exploration company wants to develop a statistical model to predict the cost of drilling a new well. One of the many variables thought to be an important predictor of the cost is the number of feet in depth that the must be drilled to create the well. Consequently, the company decided to fit the simple linear regression model,  

where y = cost of drilling the new well (in $thousands)

and x = number of feet drilled to create the well.

Using data collected for a sample of  n=83 wells, the following results were obtained:

    = 10.5 + 16.20x

trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman