A) Interpret the Structural Parameters of the Regression in the \mathrm

$\begin{array} { |l| } \hline\mathrm { Y } _ { \mathrm { i } } = 45.33 - 16.20 \mathrm { X } _ { \mathrm { i } } + \mathrm { e } _ { \mathrm { i } } \\\text { (9.14) } ( 14.27 ) \leftarrow \text { standard errors } \\\text { SER } = 45.03 \quad \bar { Y } = 75.01 \quad \mathrm { r } ^ { 2 } = 0.77 \quad \mathrm { n } = 44 \\\hline\end{array}$
A) Interpret the structural parameters of the regression in the box above.
B) How many observations were used to estimate the structural parameters?
C) What is the estimated distance of an observation from the population regression line on average?
D) Interpret the standard error of the constant term.
E) If the structural parameters of this regression were re-calculated using a fresh set of data, would you be surprised if turned out to be -29.00? Explain.
F) According to the SER, is the fit of this regression line adequate? Explain.