Pandora is an Internet radio station that offers you personalized music experience. Pandora software developers use an algorithm to try to figure out which songs you like. Based on the songs that you listen to and that you mark as "like" or "dislike", Pandora offers you a next song to listen to. Suppose, that you are one of Pandora's subscribers. Pandora maintains a detailed database of the songs that you have listened to and their attributes, such as danceability, song duration, acousticness, tempo, artist, and so on. Here are the results of an appropriate regression model that estimates your probability of "like"ing a song. (For your convenience, you can copy and paste this table Into Excel) Variable Coefficient Constant -2.712 danceability 2.158 energy 0.231 instrumentalness 1.73 speechiness 3.79 tempo 0.003 valence 0.577 You're finishing your workout at Gold's Gym and have just listened to a bunch of songs using Pandora's app on your iPhone. Pandora's algorithm works in a way that it is about to offer you some (but not all) of the following 7 songs, as shown in the table below. This table also summarizes different numerical characteristics of every song. (For your convenience, you can copy and paste this table into Excel.) Artist name: : Drake Miley Cyrus Beach House Neon Indian Ed Sheeran Ariana Grande Jay-Z Song name: "Jumpman" "Wrecking Ball" "Master of None" "Annie" "Perfect" "Be Alright" "Summer" 0.266 0.348 0.0451 0.836 0.603 Song's attribute: danceability energy instrumentalness speechiness tempo valence 0.753 0.748 0.949 0.472 0.0563 0.294 174.004 0.974 0.603 0.944 0.00049 0.156 80.03 0.308 0.102 0.0371 0.925 0.855 0.685 0.347 130.035 0.398 0.602 0.434 0.369 0.0548 111.951 0.524 0.308 0.637 99.994 0.386 0.185 85.023 0.264 144.154 0.393 Of these seven songs, which songs are the TOP THREE songs that would be offered to you by Pandora next