2. Linear Modeling (Linear Regression) A bivariate (involving two variables) set of data is given in which x represents the number of police cars positioned along a freeway and y represents the average speed of cars on the freeway. X 2 7 12 16 a) Write the equation of the best-fit line. You may want to use the following formulas for the slope and y-intercept, respectively: m b N Σxy - Σx Σy N Σx2 – (Σx)2 y 70 65 47 32 Ex² Ey-Exy Ex N Σx2 – (Σ x)2 b) Assuming the best-fit line holds as an accurate model, what is the expected average speed of cars on the freeway if the number of police cars is 14? c) What is the correlation coefficient? Note: you can use the following equation for the correlation coefficient:
2. Linear Modeling (Linear Regression) A bivariate (involving two variables) set of data is given in which x represents the number of police cars positioned along a freeway and y represents the average speed of cars on the freeway. X 2 7 12 16 a) Write the equation of the best-fit line. You may want to use the following formulas for the slope and y-intercept, respectively: m b N Σxy - Σx Σy N Σx2 – (Σx)2 y 70 65 47 32 Ex² Ey-Exy Ex N Σx2 – (Σ x)2 b) Assuming the best-fit line holds as an accurate model, what is the expected average speed of cars on the freeway if the number of police cars is 14? c) What is the correlation coefficient? Note: you can use the following equation for the correlation coefficient:
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

Transcribed Image Text:10:16 PM Thu May 18
X
2
2. Linear Modeling (Linear Regression)
A bivariate (involving two variables) set of data is given in which x represents the
number of police cars positioned along a freeway and y represents the average
speed of cars on the freeway.
7
12
16
●●●
m =
fitnyc.open.suny.edu
b =
a) Write the equation of the best-fit line. You may want to use the following
formulas for the slope and y-intercept, respectively:
N Σxy - Σx Σy
N Σx2 – (Σx)2
y
70
65
47
32
Ex² Ey-Exy Ex
N Σx2 – (Σx)2
b) Assuming the best-fit line holds as an accurate model, what is the expected
average speed of cars on the freeway if the number of police cars is 14?
c) What is the correlation coefficient? Note: you can use the following equation
for the correlation coefficient:
65%

Transcribed Image Text:10:16 PM Thu May 18
2 of 2
●●●
fitnyc.open.suny.edu
b) Assuming the best-fit line holds as an accurate model, what is the expected
average speed of cars on the freeway if the number of police cars is 14?
r =
c) What is the correlation coefficient? Note: you can use the following equation
for the correlation coefficient:
N Σxy - Σx ΣΥ
N Σx2 - (Σx)|N Σy2 - (Σy)2
☎ 65%
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