1105G3f11 - MAC1105 Names:____________________________...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: MAC1105 Names:____________________________ Group work 3 September 8, 2011 ___________________________________________________________________________________________________ LINEAR REGRESSION It is fairly common in real world situations for data to approximate a certain kind of pattern (linear, quadratic, exponential, etc.) instead of being an exact example of that type of pattern. In such cases there are mathematical methods, involving formulas from statistics, for deriving equations that do a good job of modeling the data. These models are called regression formulas, and they can be used to provide useful approximate formulas when exact formulas might not exist. In the following example we will be investigating the idea of linear regression formulas. Given the following table for the population of a town in five year increments, where t measure years since 1985. Suppose the city manager of this town would like to estimate the population in the year 2015. Or, suppose a study committee has ascertained that the town will need another school, or more housing than is currently available, or a road upgrade, or perhaps...
View Full Document

Page1 / 2

1105G3f11 - MAC1105 Names:____________________________...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online