In simple linear regression, the Y-intercept ($b_0$) is calculated using the formula $b_0 = \bar{Y} - b_1\bar{X}$, where the slope $b_1$ is computed as $S_{xy} / S_{xx}$.

From the provided data:

1. Mean of X (Age) = $(11 + 12 + 13) / 3 = 12`$2. Mean of Y (Height) = $(144 + 150 + 157) / 3 = 150.333$3`. Slope$b_1 = S_{xy} / S_{xx} = 11.3 / 66 \approx 0.1712$4. Intercept $b_0 = 150.333 - (0.1712 \times 12) = 150.333 - 2.0544 = 148.2786$

The computed Y-intercept is closest to 148.27. Therefore, Option A is correct.