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In a study on speed control, it was found that the main reasons for regulations were to make traffic flow more efficient and to minimize the risk of danger. An area that was focused on in the study was the distance required to completely stop a vehicle at various speeds. Use the following table to answer the questions. МPH Braking distance (feet) 20 20 30 45 40 81 50 133 60 205 80 411 Assume MPH is going to be used to predict stopping distance. Which of the two variables is the independent variable? Which is the dependent variable? What type of variable is the independent variable? What type of variable is the independent variable? Is there a linear relationship between the two variables? Is the relationship positive or negative? : The dependent variable is miles per hour :: The independent variable is miles per hour : The dependent variable is braking distance : The independent variable is braking distance :: Miles per hour is a continuous quantitative variable :: Miles per hour is a discrete quantitative variable :: Braking distance is a discrete quantitative variable :: Braking distance is a continuous quantitative variable :: There is not a linear relationship between the two variables :: There is a positive relationship between the two variables-higher speeds are associated with longer braking distances. : There is a positive relationship between the two variables-shorter braking distances are associated with higher speeds. There might be a linear relationship between the two variables, :: but there is a bit of a curve in the data.

In a study on speed control, it was found that the main reasons for regulations were to make traffic flow more efficient and to minimize the risk of danger. An area that was focused on in the study was the distance required to completely stop a vehicle at various speeds. Use the following table to answer the questions. МPH Braking distance (feet) 20 20 30 45 40 81 50 133 60 205 80 411 Assume MPH is going to be used to predict stopping distance. Which of the two variables is the independent variable? Which is the dependent variable? What type of variable is the independent variable? What type of variable is the independent variable? Is there a linear relationship between the two variables? Is the relationship positive or negative? : The dependent variable is miles per hour :: The independent variable is miles per hour : The dependent variable is braking distance : The independent variable is braking distance :: Miles per hour is a continuous quantitative variable :: Miles per hour is a discrete quantitative variable :: Braking distance is a discrete quantitative variable :: Braking distance is a continuous quantitative variable :: There is not a linear relationship between the two variables :: There is a positive relationship between the two variables-higher speeds are associated with longer braking distances. : There is a positive relationship between the two variables-shorter braking distances are associated with higher speeds. There might be a linear relationship between the two variables, :: but there is a bit of a curve in the data.

MATLAB: An Introduction with Applications
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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In a study on speed control, it was found that the main reasons for regulations were to make traffic flow more efficient and to minimize the risk of danger. An area that was focused on in the study was the distance required to completely stop a vehicle at various speeds. Use the following table to answer the questions. МPH Braking distance (feet) 20 20 30 45 40 81 50 133 60 205 80 411 Assume MPH is going to be used to predict stopping distance. Which of the two variables is the independent variable? Which is the dependent variable? What type of variable is the independent variable? What type of variable is the independent variable? Is there a linear relationship between the two variables? Is the relationship positive or negative? :: The dependent variable is miles per hour :: The independent variable is miles per hour : The dependent variable is braking distance : The independent variable is braking distance :: Miles per hour is a continuous quantitative variable :: Miles per hour is a discrete quantitative variable :: Braking distance is a discrete quantitative variable :: Braking distance is a continuous quantitative variable :: There is not a linear relationship between the two variables : There is a positive relationship between the two variables-higher speeds are associated with longer braking distances. :: There is a positive relationship between the two variables-shorter braking distances are associated with higher speeds. There might be a linear relationship between the two variables, :: but there is a bit of a curve in the data.
Transcribed Image Text:In a study on speed control, it was found that the main reasons for regulations were to make traffic flow more efficient and to minimize the risk of danger. An area that was focused on in the study was the distance required to completely stop a vehicle at various speeds. Use the following table to answer the questions. МPH Braking distance (feet) 20 20 30 45 40 81 50 133 60 205 80 411 Assume MPH is going to be used to predict stopping distance. Which of the two variables is the independent variable? Which is the dependent variable? What type of variable is the independent variable? What type of variable is the independent variable? Is there a linear relationship between the two variables? Is the relationship positive or negative? :: The dependent variable is miles per hour :: The independent variable is miles per hour : The dependent variable is braking distance : The independent variable is braking distance :: Miles per hour is a continuous quantitative variable :: Miles per hour is a discrete quantitative variable :: Braking distance is a discrete quantitative variable :: Braking distance is a continuous quantitative variable :: There is not a linear relationship between the two variables : There is a positive relationship between the two variables-higher speeds are associated with longer braking distances. :: There is a positive relationship between the two variables-shorter braking distances are associated with higher speeds. There might be a linear relationship between the two variables, :: but there is a bit of a curve in the data.
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