Using the information given here, answer the same questions as in Problem 11 about the regression of height (Y) on age (X) for children in one of two diet categories. (This problem is based on the data in Problem 3.)
In Problem 11
a. State the regression model that incorporates the straight-line models for each group of countries.
b. Determine and plot the separate fitted straight lines, based on the fitted regression model given in part (a).
c. Test for parallelism of the two straight lines.
d. Test for coincidence of the two straight lines.
e. Compare your results in parts (b) through (d) to those obtained in Problem 2.
Regression of HEIGHT on AGE, Z, and AGE × Z
Where Z = 1 if Protein Rich, 0 Otherwise

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ANALYSIS OF VARIANCE Sum of DFI Squares Mean Square F Value Pr> F Source Model Error Corrected Total 3 4174 20665 1391.40222 267.98 <0001 23 26 119,42001 5.19217 4293.62667 2.27863 70.91111 3.21337 R-Square Adj R-Sq 0.9722 Root MSE Dependent Mean Coeff Var 0 9686 PARAMETERESTİMATES Parameter Standard Error Variable DF Estimate Intercept AGE t Value Pr>ItTypelss 5122517 8,68604 -0.90148 1.27112 40.30 $,0001 135768 ,0001 3053.34835 840.45239 280.40592 0.67621 1285 1.88194 -048 0.6329 AGEZ 7.32293 0.99647 735 <0001