Regression Analysis for Location
- 1. www.sanjivanimba.org.in Presented By Dr. Niraj Chaudahri Assistant Professor, Sanjivani College of Engineering , Dept.of MBA, Kopargaon 1 Sanjivani College of Engineering, Kopargaon Department of MBA www.sanjivanimba.org.in Service Operation Management-I Regression Analysis in Location
- 2. www.sanjivanimba.org.in Regression Analysis in Location There are two types of regression analysis used in location decision making :- • Simple Linear Regression • Multiple Linear Regression
- 3. www.sanjivanimba.org.in 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
- 4. www.sanjivanimba.org.in Simple Linear Regression to Multiple Linear Regression
- 5. www.sanjivanimba.org.in 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.