To create a linear model that predicts the population \( y \) (in millions) of Florida based on the number of years \( x \) since 2010, we can use the information given:
- The population in 2010 (when \( x = 0 \)) is 17.4 million.
- The population increases by 0.22 million per year.
The linear equation is typically represented as:
\[ y = mx + b \]
where:
- \( m \) is the slope (the rate of change, which is the increase in population per year),
- \( b \) is the y-intercept (the population at the starting year, 2010 in this case).
From the information provided:
- The initial population in 2010 is 17.4 million, which means \( b = 17.4 \).
- The population increases by 0.22 million per year, which means \( m = 0.22 \).
So the equation becomes:
\[ y = 0.22x + 17.4 \]
This matches option C. Therefore, the correct answer is:
C. \( y = 0.22x + 17.4 \)