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 ? Color Rating ? Clarity Rating (b) How many Indicator variables would be included in the model in order to prevent the least squares estimation from falling? Indicator Variables

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