Part IV.  Simple Regression

Part IV.  Simple Regression

Let’s say that we wanted to be able to predict the selling price of a home based on its area in sq. ft. Using this sample data, perform a simple-linear regression to determine the line-of-best fit. Use the Area as your x (independent) variable and Selling Price as your y (response) variable. Use 3 places after the decimal in your answer. Refer to page 13 in the Stat Disk User’s Manual. I can not figure out how to set this up. Please help.

Answer the following questions related to this simple regression

 ATTACHMENT PREVIEW Download attachment

1. Selling Price2. List Price 3.Area4. Acres5. Age6. Taxes7. Rooms8. Bedrooms9. Baths40000041400027042.2727492093337000037900020960.752141138423825003899002737136607294230000029990018000.4334402484230500031990010663.669356263232000031990018201.734467273232100032890027000.813536458314450004500002316219625694237750038500024481.540546994346000047900030401.09206740104226500027500015001.639404662229900029900014480.4244348173138500037900024000.8933441194343000043500022004.796571484221490021990016350.25492560531475000485000222411.5821788573228000028900017380.4649301183245700049990034321.84149809114321000022490011750.9464136773127250027490013931.3944231763126800027500011960.8344336042130000031990018600.5732429493247700047900038671.1199135104429200029490018000.5247369082137900038390027221296283104329500029990022400.9144328663149900049900021745.9862389463229200029900016502.9352347673130500029990020000.3336414683352000052970033501.5368350114230800032000017760.634245848423160003100001850225438073235550036250026000.44464009105222500022900013000.6249304763127000029000013520.6824280163125300025990013120.6844404862131000031490016641.6953294063230000030990017000.8333428184229500029500016502.934429962247800047900024002.1466688842