Denise Lau is an avid football fan and religiously follows every game of the National Football League. During the 2017 season, she meticulously keeps a record of how each quarterback has played throughout the season. Denise is making a presentation at the local NFL fan club about these quarterbacks. The accompanying table shows a portion of the data that Denise has recorded, with the following variables: the player’s name (Player), team’s name (Team), completed passes (Comp), attempted passes (Att), completion percentage (Pct), total yards thrown (Yds), average yards per attempt (Avg), yards thrown per game (Yds/G), number of touch downs (TD), and number of interceptions (Int).

a. Are there any missing values in the data set? If there are, which variables have missing values? Which observations have missing values? How many missing values are there in the data set?

b. Use the omission strategy to handle missing values. How many observations are removed due to missing values?

Transcribed Image Text:

Player Aaron Rodgers Alex Smith ⠀ Tyrod Taylor Team GB KC # BUF Comp 154 341 ⠀ 263 .... Int 6 5 I 4