Option 1 is the correct interpretation.
- The slope (52.45) indicates that for every one mile per hour increase in speed, the distance traveled by the baseball increases by 52.45 yards. This makes sense, as higher speed leads to a longer ball travel distance.
- The y-intercept (4.17) is the estimated distance when the speed is zero miles per hour. While this might not have a direct real-world interpretation (since a baseball doesn't travel when the bat isn't swung), it's still a statistical parameter of the model.
To identify the slope and y-intercept of the regression line ŷ = 4.17 + 52.45s and interpret each value in context, follow these steps:
1. Understand the Regression Line:
- The regression line is in the form of ŷ = mx + b, where ŷ is the predicted value, m is the slope, x is the independent variable (speed in miles per hour), and b is the y-intercept.
2. Identify the Values:
- In the equation ŷ = 4.17 + 52.45s, the values are:
- Slope (m) = 52.45
- Y-intercept (b) = 4.17
3. Interpretation:
- Now, let's interpret each value in context:
Option 1: The slope, 52.45, indicates that the distance increases by 52.45 yards for every one mile per hour of speed. The y-intercept, 4.17, is the distance estimated by this model if the speed is zero miles per hour.
Option 2: The slope, 4.17, indicates that the distance increases by 4.17 yards for every one mile per hour of speed. The y-intercept, 52.45, is the distance estimated by this model if the speed is zero miles per hour.
Option 3: The slope, 4.17, indicates that the distance decreases by 4.17 yards for every one mile per hour of speed. The y-intercept, 52.45, is the distance estimated by this model if the speed is one mile per hour.
Option 4: The slope, 52.45, indicates that the distance decreases by 52.45 yards for every one mile per hour of speed. The y-intercept, 4.17, is the distance estimated by this model if the speed is one mile per hour.