Question

can you do 36 for me?

34) Choose correet F-test interpretation: (a) F-ratio shows that explained variation (mean regression surm a) F-rntio shows that explained variation (mean regression sum of 9u2r60 residual error sum of squares) confinming insignificance (p-va of squares) is 8.7 times of unexplained (mean squares) is 93.1 times of unexplained (mean squares) is 0.93 times of unexplained (mean of squares) is 8.7 times of unexplained (mean 0,42 0.05) (b) F-ratio shows that explained variation (mean regression sumo residual error sum of squares) confirming insignificance (p-value 0.2-0,05) (c) F-ratio shows that explained variation (mean regression sum o residual error sum of squares) confirming insignificance (p-value (d) F-ratio shows that explained variation (mean regression sum residu - 0.42-0.05) al emor surท of squares) confirming significance (p-value-0.042-0.05) F-ratio shows that explained variation (mean regression sum of squares) is 0.04 I error sum of squares) confirming significance (p-value 8.7-05) 35) Choose correct tip prediction for a $25 bill: (a) we cannot p edict 0 83+0.149 25 $4.56 tip, since the regression is not significant (b) 0.347-0.149*25-$1.08 tip. (c) 0.05.25 SS. 18 tip. (e)-0 347 +0.149.25-$3.381 ip. 0.347+0,149 25 $4.07 tip. (d) 3.93+ (36) Consider the following correlation matrix for the diamonds data. Choose the correct interpretation of correlation coefficients and possible regression arson Camelaton CARAT Pearson Comelaion Sig (7-taled Pearson Corre aton Sig 2-tailed) COLOR Pearson Comeiado CLARITY Pearson Corelation Sig. 2-taied with tively correlated with color and clarity, but positively with other variables. The association (a) Carat is nega h is strong, with color weak, others s other variables are likely insignificant, i.e. you can predict it. (b) Carat is positively correlated with color and clarity, but negatively with other variables. The association with depth is strong, with color weak, others stronger. It is worth considering regression of carat on depth and color, but other variables are likely insignificant, i.e. you can predict it. (c) Price is positively correlated with carats and negatively with other variables. The association with carats is weak, with color moderate, others stronger. It is worth considering regression of price on depth and color, but other variables are likely insignificant, i.e. you can predict the price based on depth and color, not so much on others. (d) Price is positively correlated with carats and negatively with other variables. The association with carats is strong, with color moderate, others only weak. It is worth considering regression of price on carats and color, but other variables are likely insignificant, i.c. you can predict the price based on carat and color, not so much on others. tronger. It is worth considering regression of carat on depth and color, but

Answer 1

Answer

Correct answer is option D

option A is wrong because carat is positively correlated with color and clarity, so given statement is false

option B is wrong because carat is not negatively correlated with price, so given statement is false

option C is wrong because the association or correlation between price and carat is not weak as the magnitude of r > 0.7. So, given statement is false

option D is right because the all statements made in this option are right. Association between price and carat is strong, between price and color is moderate and weak for other variables.