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Unit 01
Linear Regression Analysis
Objective
The purpose of this experiment is to learn how to apply the basic properties of linear
regression analysis to a set of trialed and recorded data. A set of formulae are provided in
order to give an understanding of how linear regression can be used to find the slope of a
line in a graph.
Concept
The foundation of linear regression analysis is based on the procedure of the method of
least squares. This process allows one to fit an algebraic function to certain data making
up a graph. It enables the distance between the points on a graph and the line that
connects them much smaller in comparison to the original. When observing the
functional dependence of a parameter on another, linear regression allows one to show
this dependence as a straight line. This permits one to establish the slope and intercept
which in turn provides the intersecting quantity to the performer of the experiment. For
the current experiment, a block is set up to slide down a ramp on a table as it is timed
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This note was uploaded on 04/15/2008 for the course PHY 2054 taught by Professor Zmudskyy during the Spring '08 term at University of Central Florida.
 Spring '08
 ZMUDSKYY
 Physics

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