1. The operations manager of a musical instrument distributor feels that demand for bass drums may be related to the number of television appearances by the popular rock group Green Shades during the preceding month. The manager has collected the data shown in the following table: a). b). Demand for Bass Drums 3 6 7 5 10 8 Green Shades TV Appearances 3 4 7 6 8 5 Use the least squares regression method to derive a forecasting equation. What is your estimate for bass drum sales if the Green Shades performed on TV nine times last month?

Please agree/disagree and add more information regarding the below message. "The Big Data phenomenon has undoubtedly changed marketing forever. First and foremost, as mentioned in the lecture videos, the Big Data phenomenon is prevalent in our every day lives through social media. Many advertisements and posts that are shown to us on our social media apps are derived from our google searches, interests, and interactions on the internet. For example, if I were to watch many videos on YouTube about sneakers, or make many Google searches on Jordans, it is likely that advertisements of sneakers would appear on my Instagram or TikTok feeds. This can be very beneficial to consumers because we are automatically presented ads on products that we have previously shown interested in, without having to go out of our ways to search for products.  On the other hand; however, some individuals may view this as an invasion of privacy. Some people may feel uncomfortable with the idea that our interests…

Both the bottom-up and the top-down approaches can be used to forecast sales. When might you prefer the bottom-up approach? When might you prefer the top-down approach?

Why is a marketer concerned about sales potentialwhen trying to select a target market?