Quiz 4 Solutions - DSC 203 Quiz 4 I 20 points i Name k 6 3f...

Info icon This preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
Image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: DSC 203 Quiz 4 I 20 points i 9/28/11 Name: k 6 3f ..__...__..__ A real estate agency collects data concerning y=sales price, x1=home size (in thousands of dollars) and x2=rating [1 to 10, 1(worst) and 10(best)]. The agency wishes to develop a regression model that can be used to predict the sales prices of future house it will list. Use the Minitab output below to answer the questions (2 points each). Predictor Coef SE Coef T P Constant 29.347 4.891 6.00 0.001 Home_Size 5.6128 0.2285 24.56 0.000 Rating 3.8344 0.4332 8.85 0.000 s = R~Sq = 99.0% R—Sq(adj) = 98.7% Analysis of Variance Source DF SS MS F P Regression 2 7374.0 3687.0 350.87 0.000 Residual Error 7 73.6 10.5 Total 9 7447.5 1. Write the estimated least squares regression equation. /é \/ 7— ?iéiifitr‘? t 51952'5?r‘<: “t” «3rgfit/l7zxap 2. Using a point estimate, predict the sales price of a house having 1800 square feet and a ratingon. A 3/ 2+ 26a 3%? F Sitoiwlif/if) i— aaawia) =2 @9593? if 0‘ MW} 3. Report the unexplained variation. What does this represent? (‘flfl‘i- Mimi): “7 fig d fifiarw n.1,»a‘ “a Writ-mg lei" figfl/Jfflég 35.725 grew as 5. State the hypotheses to test the significance of the linear regression model. [110 5 fl)! : p1 0 #5.; mt /€Q.;~:l*‘ are. flag, ,2! a 6. State the p—value for the test in (5) and your conclusion. are—vacaer 31‘ ‘33 flag} i _ . . The re. meme 6// Swag € {/6 fiéfl ce 433’ 3’5 (/éétjaicme of fine, More. as 03295“ “Er lgmjimmgl % i 7. interpret the coefficient for home size. i a?“ .. . Once Lou; mereeee 5} (were?) 3.. .t r. .. <. 3 AW.. ' f 5 g . fee-e mime” 1’” xi “fl/iii: mini/153i Congr‘lfim—fa 8. State the p—value to determine the significance of the coefficient on home size. State the hypotheses. r H fl 5 :- f i {:3 3:. \flflgj Thgrg 5e. GXf‘pgn/{ij fiffgoflfi Qr/(défflé’ “’féflfirf’ mfl’?§ gigsfi {c.33- liéfiarfiy r7175? 50.1.3352. rice. 9. Calculate a 90% confidence interval for the coefficient on ome size. log“: 9... ewe ‘94 s [Eerie Sb. == emit” all: ma— 5.2.1243: Ole-f» 0‘9; 7" 5W 5.91253 232" ‘2 /‘ 3%,; 51a; 2g : r. 52%”; :> (ewes. were} 10. Use the output below to predict the mean sales price for a home that has 2000 square feet and a rating of8. ' New Obs Fit SE Fit 95% CI 95% PI 1 11285.63 452.70 (10215.1?r 12356.09) (10215.15, 12356.12) / ’L $3,»? Wm WM be gigging/Ma md E/Qsfleme. ...
View Full Document

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern