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Based on the Car Magazine analysis, the following matrix shows the bivariate correlations between five quantitative variables that describe different features of new vehicles: Price (S) Cost/Mile Road-Test Score Predicted Reliability Value Score Price (S) Cost/Mile 0.9447 Road-Test Score 0:4580 0.4098 Predicted Reliability 0.1255 0.0679 0.2199 Value Score 0.4945 -0.5891 0.1940 0.6437 Price ($) - vehicle price Cost/Mile - vehicle's maintenance cost per driven mile Road-Test Score - internal evaluation of a vehicle Predicted Reliability - internal score of vehicle's reliability Value Score - internal score of vehicle's value Use the correlation matrix to answer following questions (0.5 pt each correct answer): a) On average, new vehicles with higher value scores have LOWER HIGHER prices than new vehicles with lower value scores. b) The correlation between Value Score and Cost/Mile is WEAKER STRONGER than the correlation between Price and Road-Test Score. c) On average, new vehicles with lower maintenance cost have LOWER HIGHER price than new vehicles with higher maintenance cost. d) The correlation between Price and Value Score is WEAKER STRONGER than the correlation between Value Score and Cost/Mile. Tools Table