Many of us may have a sweet tooth. Suppose you enjoy candy every now and then, but you want to be careful to not overdue it on the calories. You go into a store and pick out a candy bar. You notice that the calories are not listed on the package. But, there are other variables listed for the candy bar like fat, carbs, sugar etc. Posted with this homework is a data set called CandyBars.jmp. The data set contains 75 different candies along with many variables on each type. Your goal is to find the variable that is most strongly related to calories.

(a) We will begin by looking at scatterplots of Calories versus a few variables. Use the data set and JMP to produce a scatterplot of Calories versus Total fat, Carbohydrate, Sugars, and Protein. Copy and paste your graphic to turn in with this homework. See the JMP guide for this section if you need any help with the commands. Note: Put Calories in first, then the other variables of interest. This way you only have to look at the top row.

(b) Find the scatterplot for Calories and Sugars. Interpret the scatterplot.

(c) Find the scatterplot for Calories and Total fat. Interpret the scatterplot.

(d) Based on all the scatterplots, which variable appears to have the strongest relationship with Calories? Why?

(e) Using the correlation values, what variable has the strongest correlation with Calories? What variable has the weakest correlation with Calories?

What are the values of each correlation?

Strongest variable: Correlation value:

Weakest variable: Correlation value:

https://docs.google.com/spreadsheets/d/1YioQFV8jk_fzF4_jNndOsvtpgmd1kH3tCoMmG14aTlU/edit?usp=sharing