Regression Analysis for Location

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Presented By
Dr. Niraj Chaudahri
Assistant Professor,
Sanjivani College of Engineering ,
Dept.of MBA,
Kopargaon
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Sanjivani College of Engineering, Kopargaon
Department of MBA
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Service Operation Management-I
Regression Analysis in Location

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Regression Analysis in Location
There are two types of regression analysis used in location
decision making :-
• Simple Linear Regression
• Multiple Linear Regression

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Understanding Simple Linear Regression
• First, let’s go over some basics about regression. The
simplest form of regression is something you have
likely already seen before: y = mx + b. Let’s break down
this formula: y is the target variable, x is the input
variable, m is the slope and b is the y-intercept. When
applied to our housing problem, y is the price of the
house and x could be some feature of the house such
as square footage. If we continue with this example
then we would need to find some number for the
slope m and y-intercept b such that multiplying m by
square footage and adding b would give us the price of
the house

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Simple Linear Regression to Multiple Linear Regression

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Global Positioning System (GPS)
• The Global Positioning System (GPS),
originally Navstar GPS is a satellite-based radio
navigation system owned by the United States
government and operated by the United States
Space Force It is one of the global navigation satellite
systems (GNSS) that provides geolocation and time
information to a GPS receiver anywhere on or near
the Earth where there is an unobstructed line of
sight to four or more GPS satellites Obstacles such as
mountains and buildings block the relatively
weak GPS signals.

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GPS MAP

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GPS MAP

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GPS MAP

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GPS MAP