• Find the average rate of change of a function
• Identify parts of a graph where the function is going up, going down, or staying the same
• Identify the highest and lowest points, both overall and at specific spots, on a graph

An Athletic Performance Data Analyst collects and interprets data to determine the most important insights that can maximize athlete health, performance, and wellbeing. This type of data analyst is likely to work with the toolkit functions and a variety of functions related to them. Step into the shoes of an Athletic Performance Data Analyst by completing the following tasks.

One of your goals is to help athletes and their coaches determine appropriate training regimens. You know from your data collection that a stress-recovery-adaptation model is helpful for athletes to improve their performance. This model involves doing an exercise, resting or going easy on the exercise for recovery, and then being able to return to the exercise with heightening intensity.

Next, apply the same analysis to the toolkit functions.