The marketing manager at Tom Thumb wants to investigate the sales data of their new products in its branches during the last six months. She is interested in finding important factors in sales unit to optimize the store's revenue. She collected the following data for each product id. The Tom Thumb hires you as a data scientist to analyze the above sales data set. When you open the data set, you see the following structure in Tom Thumb's data: Product ID Sales unit (I) Price (II) Month (III) Likability (IV) 1 High Regular price January 4.2 2 High Promoted price January 4.7 3 Low Regular price March 3.1 4 Average Promoted price February 3.7 Now, which types of model can be considered as the best to analyze the sales units as factors/functions of price. Which... Sales unit is either high, average, or low. Linear regression. Binary logit. Multinomial logit. A