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Introduction to Statistics

by: Kamren McLaughlin

Introduction to Statistics STAT 201

Kamren McLaughlin
GPA 3.94


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Class Notes
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This 2 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 21 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 85 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 STAT key and the Q EDIT key You should see the following screen x is amegtlt a 31151 Hameabtat III39ILC mf IFH39IH FII39ST WHEN This screen allows you to name the data sets that you are about to enter If you anticipate using the data sets on several occasions you should give them special names using the alphabet feature of the TI85 Otherwise you should just use the generic names provided xStat and yStat To use these generic names press ENTER two times and you should proceed to the next screen Press CLny to clear all values of x and y Before you begin entering your data you should see the following screen xx5tat HHStat x1 H11 Enter your data with the square footage as the xvalues and the annual sales as the y va1ues After entering the last xvalue and the last yvalue you should see the following screen IZI39ILC mf DFIFIH FEET How to Use the Tlt89 to Perform Regression Analysis Fns1en1enne ea1a as descnbed 171 How 0 Use Me 7789 0 Fwd Bast Summary szanaeswnn me Exceptmn 1na1 me ea1a mus1 be emeved mm Mu ee1umns Emenhe2xp1anamvyvanab n1eeneee1umnane1n takmg cavem vemembevw tuwhmh vaname 1e1 n1enee1umneenespenes Wew111use1ne1e11ew1ng ea1a1enne exammgs x 1 3 A 5 a a 13 15 1a 21 Aneyen1eyn1neea1a uuvscveen sneme1ee1lt11lte1ne1e11ewng I oneese F5Ca1c changeme Ca1cu1at1unType hem sayLmRee emenne ee1umn name enne 2xp1anamyvanab1211710115 ease 171012 bux abe edX nd hevespunsevav1ab1ec2heve171V Vuu have m manua11y1ype1n1ne ee1umn names usmgme a1pna keytu aeeessme a1pnaeenea1enayae1eys Vuuv 5122quot sneme1ee1lt11lte1ne1e11ewng Aney yuu messme emevkeypemapsm1ce dependmg an new yuu emevedthe ee1umn names nu sneme 1ne1e11ewng umpm Fm mene ee1a11ee1n1enma11en wsn Texas 1ns1mmen1s T1789 websne a1 hug2ducat1un 11 enmusgmeueMeenEaVeamesveames n1m1


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