Introduction to Statistics
Introduction to Statistics STAT 201
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This 1 page Class Notes was uploaded by Kamren McLaughlin on Monday October 26, 2015. The Class Notes belongs to STAT 201 at University of Tennessee - Knoxville taught by Staff in Fall. Since its upload, it has received 16 views. For similar materials see /class/229895/stat-201-university-of-tennessee-knoxville in Statistics at University of Tennessee - Knoxville.
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Date Created: 10/26/15
Using the TI 86 to Find the Estimated Simple Linear Regression Equation Consider the example on page 737 in the Berenson and Levine text In this example regression techniques are used to examine the relationship between the size square footage of a store and its annual sales A sample of 14 stores is selected The data used in this example is provided below Store Sq FtX Annual Sales Y Store Sq FtX Annual Sales Y 1 1726 3681 8 1102 2694 2 1642 3895 9 3151 5468 3 2816 6653 10 1516 2898 4 5555 9543 11 5161 10674 5 1292 3418 12 4567 7585 6 2208 5563 13 5841 11760 7 1313 3660 14 3008 4085 First you will need to enter the data from the Edit submenu Press the M i STAT keys and the Q EDIT key You may see the following screen xStat 95ml 1 m x5tutt12l I I IHHHESI quot IIJF S I If you wish to clear any particular column arrow up to the column name press CLEAR and then press ENTER Enter your data with the square footage as the xValues in the xStat column and the annual sales as the yValues in the yStat column After entering the last xValue and the last yValue you should see the following screen xStat 951ml 2 1515 EB E 5151 13935 391 H55 P555 553911 11PEI2I 3Equot yStatiiE HHHES quot IFS I