The least-squares regression line is given by the equation \( y = a + bx \), where \( a \) is the y-intercept and \( b \) is the slope of the line.
From the calculator output:
- \( a = 2.17306922 \)
- \( b = 0.32743551 \)
Substituting these values into the equation, we get:
\[ y = 2.17306922 + 0.32743551x \]
So, the equation of the least-squares regression line is:
\[ y = 2.17306922 + 0.32743551x \]