HE iflM!@l@@MlE 2168Bstat-OO4/OO7 Final Exam Review 2 Regression Statisttbs "" "'"Ww'W-"ww "Wreak- . t i R Square ' 0.7554 v 4447'63 " ' 30.0000 5 t Cbs erxatims increase by 3 .7297 thousands. B) For each decrease of 1 thousand dollars in expected revenue, the expected increase by 3.7297 thousands. ' D) For each decrease of 1 thousand downloads, the expected revenue is estim 38. Referring to given information, WlliCll of the follow determination? A) 75.54% of the variationin the number of downlo B) 74.67% of the variation in revenue c C) 74.67% of the variation in the number of downloads can be expl D) 75.54% of the variation in revenue can be explained by the v 39. Is there enough evidence to conclude A) Yes. at 95% or higher confidence level B) Yes. at 99% or higher confidence level C') No. at 95% or higher confidence level D) No. at 99% or higher confidence level E) Cannot be determined from given information .v ' l ' version of his A computer software developer would like to use the number of dmvnlogtcllls (in thoulsiandsilfl'zr xfsion of the new ' ' ' ' thousands of dollars C can ma e on ' new shareware to pl edict the amount of levenue (in ' ' nai shareware. Following is the output from a simple linear re gressmn along With the resrdual plot and non probability plot obtained from a data set of 30 different sharewares that he has developed. -.mtmw.fl.smw. nunn-vp. v-r a. it." on tnt-Insh-nylbv$tvflnwlrtnymlnwu4111-s5qma'a {Missed 07467 t. , Coefficients Standard Error t Stat " P-value Lower 95% Upper 95% Intercept N N 595.qs14 263183; N -3.5315s 0.0015 4502009 " p-39.9218'; Download ' " '"dl'ztOiiW "'"issz' ' 0.0'0'0'0' 2.9082 " 4.5513 37. Referring to information above, whifh of the followingis the correct interpretation for the slope coefficient? A) For each increase of 1 thousand dollars lfl expected revenue, the expected number of downloads is estimated to C) For each increase of 1 thousand downloads, the expected revenue is estimated to increase by 537297 thousands. ing is the con'ect inteipretation for the coefficient of v ads can'be explained by the variation in revenue. an be explained by the variation in the number of downloads. ained by the variation in revenue. ariation in the number of downloads. ' thatpredicted and predictor are linearly related? magn'mmmgn'" .......... -.,..m4..-.vm 4 .. u ab. 4 t, warn: era-xuaVJitv-vmwmv-unl-HN'VMItxu"1044 - a 3 number of downloads is estimated to ated to increase by 537297 thousands {il