http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_May2008_C5_S1&feed=atom&action=historySOCR Events May2008 C5 S1 - Revision history2024-03-28T11:33:02ZRevision history for this page on the wikiMediaWiki 1.15.1http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_May2008_C5_S1&diff=6349&oldid=prevIvoDinov at 21:34, 8 February 20082008-02-08T21:34:43Z<p></p>
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<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>===Interpret the slope and y-intercept of a line through data ===</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>===<ins class="diffchange diffchange-inline">[[SOCR_EduMaterials_Activities_BivariateNormalExperiment | </ins>Interpret the slope and y-intercept of a line through data<ins class="diffchange diffchange-inline">]]</ins>===</div></td></tr>
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<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>===Predict y-values for given x-values when appropriate using a line fitted to bivariate numerical data===</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>===<ins class="diffchange diffchange-inline">[[SOCR_EduMaterials_Activities_BivariateNormalExperiment | </ins>Predict y-values for given x-values when appropriate using a line fitted to bivariate numerical data<ins class="diffchange diffchange-inline">]]</ins>===</div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>==References==</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>==References==</div></td></tr>
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</table>IvoDinovhttp://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_May2008_C5_S1&diff=6348&oldid=prevIvoDinov: /* Estimate the equation of a line of best fit to make and test conjectures */2008-02-08T21:34:12Z<p><span class="autocomment">Estimate the equation of a line of best fit to make and test conjectures</span></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>===[[SOCR_EduMaterials_Activities_BivariteUniformExperiment | Estimate, interpret, and use lines fit to bivariate data]]===</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>===[[SOCR_EduMaterials_Activities_BivariteUniformExperiment | Estimate, interpret, and use lines fit to bivariate data]]===</div></td></tr>
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<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>===Estimate the equation of a line of best fit to make and test conjectures=== </div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>===<ins class="diffchange diffchange-inline">[[SOCR_EduMaterials_Activities_BivariateNormalExperiment | </ins>Estimate the equation of a line of best fit to make and test conjectures<ins class="diffchange diffchange-inline">]]</ins>===</div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>===Interpret the slope and y-intercept of a line through data ===</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>===Interpret the slope and y-intercept of a line through data ===</div></td></tr>
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</table>IvoDinovhttp://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_May2008_C5_S1&diff=6345&oldid=prevIvoDinov: /* Estimate, interpret, and use lines fit to bivariate data */2008-02-08T21:31:21Z<p><span class="autocomment">Estimate, interpret, and use lines fit to bivariate data</span></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div><center>[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig7.jpg|500px]]</center></div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div><center>[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig7.jpg|500px]]</center></div></td></tr>
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<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>===Estimate, interpret, and use lines fit to bivariate data=== </div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>===<ins class="diffchange diffchange-inline">[[SOCR_EduMaterials_Activities_BivariteUniformExperiment | </ins>Estimate, interpret, and use lines fit to bivariate data<ins class="diffchange diffchange-inline">]]</ins>===</div></td></tr>
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</table>IvoDinovhttp://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_May2008_C5_S1&diff=6343&oldid=prevIvoDinov at 21:25, 8 February 20082008-02-08T21:25:25Z<p></p>
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<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">Use the [[SOCR_012708_ID_Data_HotDogs | Hot dog Sodium Calorie Dataset]] and explore [[SOCR_EduMaterials_Activities_BivariteUniformExperiment | various bivariate activities]].</ins></div></td></tr>
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<tr><td class='diff-marker'>-</td><td style="background: #ffa; color:black; font-size: smaller;"><div>===Determine whether the relationship between two variables is approximately linear or nonlinear by examination of a scatter plot=== </div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>===Determine whether the relationship between two variables is approximately <ins class="diffchange diffchange-inline">[[SOCR_EduMaterials_Activities_ScatterChart#Example_.28Human_Heights_and_Weights.29 | </ins>linear or nonlinear by examination of a scatter plot<ins class="diffchange diffchange-inline">]]</ins>=== </div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>===Characterize the relationship between two linear related variables as having positive, negative, or approximately zero correlation===</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>===Characterize the relationship between two linear related variables as having positive, negative, or approximately zero correlation===</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">Try scatter plotting the Weight or the Height (Y-axis) agains the index of the observation for the first 100 subjects in the [[SOCR_Data_Dinov_020108_HeightsWeights | Human Weight/Height Dataset]]. Of course, there should be no correlation between the index of the subject and his/her height or weight, as subjects are randomly chosen! On the contrary plotting Weight vs. height will demonstrate a clear positive correlation (i.e., higher weight implier taller individual).</ins></div></td></tr>
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<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;"><center>[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig7.jpg|500px]]</center></ins></div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>===Estimate, interpret, and use lines fit to bivariate data=== </div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>===Estimate, interpret, and use lines fit to bivariate data=== </div></td></tr>
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</table>IvoDinovhttp://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_May2008_C5_S1&diff=6334&oldid=prevIvoDinov: New page: == SOCR May 2008 Event - Summarize, display, and analyze bivariate data== ===Collect, record, organize, and display a set of data with at least two variables=== ...2008-02-08T19:38:42Z<p>New page: == <a href="/socr/index.php/SOCR_Events_May2008" title="SOCR Events May2008"> SOCR May 2008 Event</a> - Summarize, display, and analyze bivariate data== ===Collect, record, organize, and display a set of data with at least two variables=== ...</p>
<p><b>New page</b></p><div>== [[SOCR_Events_May2008 | SOCR May 2008 Event]] - Summarize, display, and analyze bivariate data==<br />
<br />
===Collect, record, organize, and display a set of data with at least two variables=== <br />
<br />
===Determine whether the relationship between two variables is approximately linear or nonlinear by examination of a scatter plot=== <br />
<br />
===Characterize the relationship between two linear related variables as having positive, negative, or approximately zero correlation===<br />
<br />
===Estimate, interpret, and use lines fit to bivariate data=== <br />
<br />
===Estimate the equation of a line of best fit to make and test conjectures=== <br />
<br />
===Interpret the slope and y-intercept of a line through data ===<br />
<br />
===Predict y-values for given x-values when appropriate using a line fitted to bivariate numerical data===<br />
<br />
==References==<br />
* [http://www.schools.utah.gov/curr/core/corepdf/Mth7-12.pdf Utah Secondary Core Curriculum Standards for Statistics]<br />
* [[EBook | Interactive Statistics Education EBook]]<br />
* SOCR Home page: http://www.socr.ucla.edu<br />
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