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<item rdf:about="http://www.oercommons.org/courses/regression-activity">
  <title>Regression Activity</title>
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  <description>This activity focuses on basic ideas of linear regression. It covers creating scatterplots from data, describing the association between two variables, and correlation as a measure of linear association.</description>
  
  
    <dc:subject>Mathematics and Statistics</dc:subject>
  
  
    <dc:date>2009-06-07T22:23:27</dc:date>
  
  <dc:type>Course Related Materials</dc:type>
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<item rdf:about="http://www.oercommons.org/courses/star-library-what-is-the-shelf-life">
  <title>Star Library: What is the Shelf Life?</title>
  <link>http://www.oercommons.org/courses/star-library-what-is-the-shelf-life</link>
  <description>The Food and Drug Administration requires pharmaceutical companies to establish a shelf life for all new drug products through a stability analysis. This is done to ensure the quality of the drug taken by an individual is within established levels. The purpose of this out-of-class project or in-class example is to determine the shelf life of a new drug. This is done through using simple linear regression models and correctly interpreting confidence and prediction intervals. An Excel spreadsheet and SAS program are given to help perform the analysis.</description>
  
    <dc:creator>Christopher R. Bilder</dc:creator>
  
  
    <dc:subject>Mathematics and Statistics</dc:subject>
  
  
    <dc:date>2009-06-07T22:23:27</dc:date>
  
  <dc:type>Course Related Materials</dc:type>
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  <description>As teachers of statistics, we know that residual plots and other diagnostics are important to deciding whether or not linear regression is appropriate for a set of data. Despite talking with our students about this, many students might believe that if the correlation coefficient is strong enough, these diagnostic checks are not important. The data set included in this activity was created to lure students into a situation that looks on the surface to be appropriate for the use of linear regression but is instead based (loosely) on a quadratic function.</description>
  
    <dc:creator>Jacqueline B. Miller</dc:creator>
  
  
    <dc:subject>Mathematics and Statistics</dc:subject>
  
  
    <dc:date>2009-06-07T22:23:27</dc:date>
  
  <dc:type>Course Related Materials</dc:type>
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  <title>Regression</title>
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  <description>This applet from Statistical Java allows the user to generate bivariate data for analysis with simple linear regression. The page describes the equations used to generate the data and estimate the regression lines.</description>
  
    <dc:creator>C.Anderson-Cook</dc:creator>
  
    <dc:creator>S.Dorai-Raj</dc:creator>
  
    <dc:creator>T.Robinson</dc:creator>
  
  
    <dc:subject>Mathematics and Statistics</dc:subject>
  
  
    <dc:date>2009-06-07T22:23:27</dc:date>
  
  <dc:type>Course Related Materials</dc:type>
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<item rdf:about="http://www.oercommons.org/courses/math-tours-fractions">
  <title>Math Tours: Fractions</title>
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  <description>Students need many concrete experiences with fractions to develop a deep understanding of the three models of fractions: area, linear and set models. Teachers need to address all three models in well-designed instructional activities so that students develop a rich concept of fractions that they can use to make sense of numbers, operations, measurement and probability. The Math Tours include: activities, problem solving, games, writing to learn, templates, math-literature connections, and web links. Each page has a left navigation bar to easily take you through the tour and back to the homepage or the math topics page.</description>
  
    <dc:creator>Terry Kawas</dc:creator>
  
  
    <dc:subject>Humanities</dc:subject>
  
    <dc:subject>Mathematics and Statistics</dc:subject>
  
  
    <dc:date>2009-04-17T02:18:27</dc:date>
  
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