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by: Megan Lester

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# MGTOP 215 Chapter 13 problems MGTOP 215

Marketplace > Washington State University > MGTOP 215 > MGTOP 215 Chapter 13 problems
Megan Lester
WSU
GPA 2.8

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Chapter 13 problems from book
COURSE
PROF.
Sung Ahn
TYPE
Class Notes
PAGES
2
WORDS
CONCEPTS
Statistics, BUISNESS
KARMA
25 ?

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This 2 page Class Notes was uploaded by Megan Lester on Wednesday September 28, 2016. The Class Notes belongs to MGTOP 215 at Washington State University taught by Sung Ahn in Fall 2015. Since its upload, it has received 3 views.

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Date Created: 09/28/16
HC Homework due 4/29: 13.21, 13.47, 13.61 13.9 a.) j b.) ???? 1 0.033 d.) ???? ???? ???? + ????0???? = 2.1 ???? + 0.033 800 = 28.539 ( ) ???? 0 2.139 e.) It would not be appropriate to use a model because it c.) For each increasing square footage, the monthly rent would not be 100 % accurate cost is expected to increase by ???? 1 f.) The second apartment is a better deal Regression Statistics Multiple R 0.3236 RSquare 0.1047 Adjusted RSquare 0.0848 Standard Error 132.7127 Observations 48 ANOVA df SS MS F SignificanceF Regression 1 92686.3170 92686.3175.2625 0.0265 Residual 45 792569.5979 17612.6577 Total 46 885255.9149 Coefficients Standard ErtStat P-value Lower95% Upper95% Lower95% Upper95% Intercept 444.8543 138.7164 3.2069 0.0025 165.4651 724.2436 165.4651 724.24358 1110.00 0.2299 0.1002 2.2940 0.0265 0.0280 0.4317 0.0280 0.43169 a.) ???? = ???????????? =0.1047 ???????????? b.) 132.7127 c.) The regrestion model is kind of used in predicting what the monthlly rent will be d.) I can not think of any other variables that moght explan the variation in the rent a.) Yes it dose look like there is a relationship between the size and the monthly rent of the apartment. b.) ???? 1 ???? ????/2 ???? 1 = 0.033 ± 2.0129 0.1002 = −0.1687 ≤ ???? ≥ .2347 1 a.) ???? − ???? ???? √ ℎ ????/2 ???????? ???? ????????= ???? + 0 ???? = 21 ????9 + 0.033 800 = 28.539 ( ) ????????/2 = 2.0129 ???? ????????= 132.7127 ℎ ???? 0.3236 28.539 ± 132.7127 2.0129 )(√0.3236 ) −123.4238,180.5024 ) b.) ???? − ????????/2 ????????√ 1 + ℎ???? 28.539 ± 132.7127 2.0129 )(√1 + 0.3236 ) −278.7967,335.8747 ) c.) Since there is more variation in the predicing a value then in estimating a value the prediction is wider then the cinfidence interval.

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