Welcome back,

In this simulation, you will be making analyses for a start-up social media company. Let me quickly introduce the platform.

It is indeed a fashion-based social platform. Customers are represented on the platform screen with avatars visualized as small human-like figures. These avatars can be controlled with keyboard arrows. Commanding their avatars, users can visit virtual versions of their favorite stores on the platform and make their purchases. They can post their purchases and discuss them with their followers. They can also collect likes and gain greater popularity on the platform with those likes. In the "post-purchase" section, users can share how they fit in the clothes they purchased by posting pictures as they wear them. In summary, in this section (post-purchase), other users rate how a user looks in the clothes they just purchased. Gisele Bundchen, Bella Hadid, and Naomi Campbell are the top scorers in the post-purchase section. This can give you a clue regarding what type of bodies are favored in the ratings.

Let's talk about some of the issues on the platform;

• Last month, the biggest expenses have been made in the Lululemon virtual store according to the data from Canadian servers. In the store's page, we read that many users were complaining about how they could not help but buy everything they saw on the discount day. Some claimed they took risks and spent their rent before the month-end. To investigate this phenomenon, we collected data from those users. We examined how the variables of interest as listed below could affect "willingness to take risks to purchase items". You can find the regression results below.