A trucking company considered a multiple regression model for relating the dependent variable y total daily travel time for one of its drivers (hours) to the predictors x₁ distance traveled (miles) and x₂ the number of deliveries made. Suppose that the model equation is Y-0.800+ 0.060x₂ + 0.900x₂ + (a) What is the mean value of travel time when distance traveled is SO miles and four deliveries are made? (b) How would you interpret , 0.060, the coefficient of the predictor x? O When the number of deliveries is constant, the average change in travel time associated with a ten-mile (i.e. one unit) increase in distance traveled is 0.060 hours. O The total daily travel time increases by 0.060 hours when the distance traveled increases by 1. O When the number of deliveries is held fixed, the average change in travel time associated with a one-mile (i.e. one unit) increase O The average change in travel time associated with a one-mile (i.e. one unit) increase in distance traveled is 0.060 hours. What is the interpretation of ₂-0.900? O The total daily travel time increases by 0.900 hours with one extra delivery. O When the distance traveled is held fixed, the average change in travel time associated with one extra delivery is 0.900 hours. O When the distance traveled is constant, the change in travel time associated with one delivery is 0.900 hours. O The average change in travel time associated with one extra delivery is 0.900 hours. distance traveled is 0.060 hours. (c) Ifa - 0.5 hour, what is the probability that travel time will be at most 6 hours when four deliveries are made and the distance traveled is 50 miles? (Round your answer to four decimal places.)
A trucking company considered a multiple regression model for relating the dependent variable y total daily travel time for one of its drivers (hours) to the predictors x₁ distance traveled (miles) and x₂ the number of deliveries made. Suppose that the model equation is Y-0.800+ 0.060x₂ + 0.900x₂ + (a) What is the mean value of travel time when distance traveled is SO miles and four deliveries are made? (b) How would you interpret , 0.060, the coefficient of the predictor x? O When the number of deliveries is constant, the average change in travel time associated with a ten-mile (i.e. one unit) increase in distance traveled is 0.060 hours. O The total daily travel time increases by 0.060 hours when the distance traveled increases by 1. O When the number of deliveries is held fixed, the average change in travel time associated with a one-mile (i.e. one unit) increase O The average change in travel time associated with a one-mile (i.e. one unit) increase in distance traveled is 0.060 hours. What is the interpretation of ₂-0.900? O The total daily travel time increases by 0.900 hours with one extra delivery. O When the distance traveled is held fixed, the average change in travel time associated with one extra delivery is 0.900 hours. O When the distance traveled is constant, the change in travel time associated with one delivery is 0.900 hours. O The average change in travel time associated with one extra delivery is 0.900 hours. distance traveled is 0.060 hours. (c) Ifa - 0.5 hour, what is the probability that travel time will be at most 6 hours when four deliveries are made and the distance traveled is 50 miles? (Round your answer to four decimal places.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
Transcribed Image Text:A trucking company considered a multiple regression model for relating the dependent variable y = total daily travel time for one of its drivers (hours) to the predictors x₁ = distance traveled (miles) and x₂ = the number of deliveries made. Suppose that the model equation is
Y = -0.800+ 0.060x₁ +0.900x₂ + e
(a) What is the mean value of travel time when distance traveled is 50 miles and four deliveries are made?
hr
(b) How would you interpret ₁ = 0.060, the coefficient of the predictor x₁?
O When the number of deliveries is constant, the average change in travel time associated with a ten-mile (i.e. one unit) increase in distance traveled is 0.060 hours.
O The total daily travel time increases by 0.060 hours when the distance traveled increases by 1.
O When the number of deliveries is held fixed, the average change in travel time associated with a one-mile (i.e. one unit) increase in distance traveled is 0.060 hours.
O The average change in travel time associated with a one-mile (i.e. one unit) increase
distance traveled is 0.060 hours.
What is the interpretation of ₂ = 0.900?
O The total daily travel time increases by 0.900 hours with one extra delivery.
O When the distance traveled is held fixed, the average change in travel time associated with one extra delivery is 0.900 hours.
O When the distance traveled is constant, the change in travel time associated with one delivery is 0.900 hours.
O The average change in travel time associated with one extra delivery is 0.900 hours.
(c) If = 0.5 hour, what is the probability that travel time will be at most 6 hours when four deliveries are made and the distance traveled is 50 miles? (Round your answer to four decimal places.)
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 5 steps with 13 images
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
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
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman