The accompanying line graph shows how the average salary for baseball players in a certain league has increased over a​ 12-year period. Notice the average salary is given for​ odd-numbered years only. Also note that the left scale does not start at zero. Which​ 2-year period(s) had the smallest​ increase?

Question

2007
2019
2.5
3
3.5
4
4.5
5
Year
Average Salary ($ millions)

Answer 1

To determine which 2-year period(s) had the smallest increase in average salary for baseball players using the data from the line graph, you would need to perform the following steps:

1. Identify the average salaries for each year provided on the graph (years: 2007, 2009, 2011, 2013, 2015, 2017, 2019).
2. Calculate the difference in average salary between each consecutive odd-numbered year to find the increases.
3. Compare these increases to determine the smallest one.

Since the specific salary values for each year are not provided in the text, this is a general procedure you can use once you have the actual data points.

From the steps above:
- For year intervals: 2007-2009, 2009-2011, 2011-2013, 2013-2015, 2015-2017, 2017-2019.
- Calculate the increase for each period by subtracting the earlier year's salary from the later year's salary.
- Identify which period had the smallest difference.

If you happen to have the graph or the specific values, you could apply this method directly to find the smallest increase. For example, if the average salaries for the given years were (in millions of dollars):
2007: $2.5
2009: $2.7
2011: $3.2
2013: $3.4
2015: $3.8
2017: $4.2
2019: $4.5

You would then compute the increases:
- 2007 to 2009: $2.7 - $2.5 = $0.2 million
- 2009 to 2011: $3.2 - $2.7 = $0.5 million
- 2011 to 2013: $3.4 - $3.2 = $0.2 million
- 2013 to 2015: $3.8 - $3.4 = $0.4 million
- 2015 to 2017: $4.2 - $3.8 = $0.4 million
- 2017 to 2019: $4.5 - $4.2 = $0.3 million

From this example, the periods with the smallest increases are:
- 2007 to 2009: $0.2 million
- 2011 to 2013: $0.2 million

These periods show the smallest increase in average salary for baseball players based on the hypothetical data provided. Apply this methodology to your actual graph data to find the precise smallest increase period.