A regression model to predict the price of diamonds included the following predictor variables: the weight of the stone (in carats where 1 carat = 0.2 gram), the color rating (D, E, F, G, H, or I), and the clarity rating (IF, VVS1, VVS2, VS1, or VS2). (a) Identify the quantitative predictor variable(s). (You may select more than one answer. Click the box with a check mark for the correct answer and double click to empty the box for the wrong answer.) Weight unchecked Color Rating checked Clarity Rating checked (b) How many indicator variables would be included in the model in order to prevent the least squares estimation from failing? Indicator Variables (c) Choose the correct model form for predicting diamond price. Price = β0 + β1Weight + β2ColorD + β3ColorE + β4ColorF + β5ColorG + β6ColorH + β7ClarityIF + β8ClarityVVS1+ β9ClarityVVS2+ β10ClarityVS1 Price = β0 + β1Weight + β2Color + β3Clarity Price = β0 + β1Weight + β2ColorD + β3ColorE + β4ColorF + β5ColorG + β6ColorH + β7ColorI+ β8ClarityIF + β9ClarityVVS1+ β10ClarityVVS2+ β11ClarityVS1+β12ClarityVS1 a b c