Question

please post answers as picture thanks

5 Listed below are the body lengths (in inches) and weights (im Ib) of randomly selected bears: Length40 64 65 49 47 Weight 65 356 316 94 86 a. Find the value of the linear correlation coefficient. b. Letting y represent weights of bears and letting x represent their lengths, find the regression equation. Based on the given sample data, what is the best predicted weight of a bear with a length of 72.0 jnch c.

Answer 1

Answex e Value of the lineax corelation coesficient -7.The lineay Comehtion coefficient , NTTAB Softoxe, find Peason cve lation Coeficient test Statistics usth the help of felleing Steps Impext the dota Selct oelation fom Basic Stakistics nstot option. * Select vasiables chek Dis play P-volues cliex ok Cerrelations: Lenath, weight Reaszsan erwelatiens of langth and weight 961 P- Value .o0g From the MINTTAB output, the Peaxson Cevelatien Coefticient test sStatistics o The P-value fos this test , From the MINTTA8 output, the R. value fo this

Decisi en The conclusion is that P. value in thts context ess thoan o.05 hich 0o, S the null d Pothess s xejected at 5./ level Significance veis Stfficient evidence to indicate that theye S ainea cotvelatienength and wveight Statistcaly Significant The e eSalt the 'vegression equation , By ustng MINTTAB fi Softuare, find Vegvession anolysis taith help of follosing stes: IMpet the data. Select Reg ession Yom Regression is tat ean ' select espense and Predicto Vaiabl , click ok Regresion Analysis :wetght versus tength The regression eqyuation is Weight- 一 47구 +12.5 Length Predicto coe sE Coe T P Conatant 76.8.H length t2.490 2.06꾸 6-oto.ooq 4-28 2g

→The best-Predicted weight of a bear wth h22 48 The best Predicte^ wéight of a beav sth a tength of 2 :n is 1h22-48.