For each of the regression equations below, calculate the predicted score (left(Y^{prime} ight)) for the given scores

For each of the regression equations below, calculate the predicted score \(\left(Y^{\prime}\right)\) for the given scores for \(X_{1}\) and \(X_{2}\).

a. \(Y^{\prime}=2.50+.39\left(X_{1}\right)+.22\left(X_{2}\right) ; X_{1}=5, X_{2}=16\)

b. \(Y^{\prime}=22.59+1.14\left(X_{1}\right)+.18\left(X_{2}\right) ; X_{1}=17, X_{2}=26\)

c. \(Y^{\prime}=17.20+.16\left(X_{1}\right)+1.23\left(X_{2}\right) ; X_{1}=2, X_{2}=8\)

d. \(Y^{\prime}=106.54+-.92\left(X_{1}\right)+.68\left(X_{2}\right) ; X_{1}=70, X_{2}=42\)

e. \(Y^{\prime}=14.81+1.09\left(X_{1}\right)+.40\left(X_{2}\right) ; X_{1}=15, X_{2}=21\)