Pick a variable of interest that you would like to model using regression analysis.

How would you go about it?

What variables would you include in your model?

How would you collect the data, or which publicly available series would you use?

Ex-ante, what results would you expect to find?

How would you interpret coefficients on the independent variables?

Please answer these questions by using this data: https://drive.google.com/file/d/1p2NfUYAUw97i7tenEqaP7P-lNo_gG9Fw/view?usp=sharing

What's the best (or at least the most popular) Halloween candy? That was the question this dataset was collected to answer. Data was collected by creating a website where participants were shownpresenting two fun-sized candies and asked to click on the one they would prefer to receive. In total, more than 269 thousand votes were collected from 8,371 different IP addresses.

Content

candy-data.csvincludes attributes for each candy along with its ranking. For binary variables, 1 means yes, 0 means no. The data contains the following fields:

• chocolate: Does it contain chocolate?
• fruity: Is it fruit flavored?
• caramel: Is there caramel in the candy?
• peanutalmondy: Does it contain peanuts, peanut butter or almonds?
• nougat: Does it contain nougat?
• crispedricewafer: Does it contain crisped rice, wafers, or a cookie component?
• hard: Is it a hard candy?
• bar: Is it a candy bar?
• pluribus: Is it one of many candies in a bag or box?
• sugarpercent: The percentile of sugar it falls under within the data set.
• pricepercent: The unit price percentile compared to the rest of the set.
• winpercent: The overall win percentage according to 269,000 matchups.