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July 25, 2017 | Autor: Brad Entzminger | Categoría: Vitamins, Protein, Fiber, Ratings, Potassium, Weight, Sugars, Sodium, Fat, CARBOHYDRATES, Type, Cups, Weight, Sugars, Sodium, Fat, CARBOHYDRATES, Type, Cups
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4.1)
A.) Nominal includes name, MFR, type, Protein, Fat, Sugars, Vitamins, shelf. Quantitative include Calories, sodium, fiber, carbohydrates, potassium, Weight, cups, ratings.
B.) Table is in SPSS
C.) Histogram is in SPSS. Based on the histograms it looks like sodium is the largest variability within the data range. Potassium seems to be the most notable one that is skewed. The most extreme values are carbohydrates they are very high and also sugar.
D.) The calories are very similar to the cold cereal.
E.) No b/c the shelf height does not affect rating of the product.
F.) in SPSS
I. Cups and Calories. Carbs and Calories. Sodium and potass.
II. Get rid of Rating and Weight from correlation.
III. We might be able to get a better idea of what affects calories of a certain type of cereal brand.

4.4.)

Fuel Type, AGE, Doors, Airbags , Locks , powered wheels
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