Step 1 :The y-intercept is the value of y when x is 0. In this case, x represents the literacy rate. So, the y-intercept would represent the age difference between husband and wife when the literacy rate is 0. Since the model is only valid for literacy rates between 24 and 100, it does not make sense to interpret the y-intercept because a literacy rate of 0 is outside the scope of the model. So, the correct answer is C. No-it does not make sense to interpret the $y$-intercept because an $x$-value of 0 is outside the scope of the model.
Step 2 :To predict the age difference between husband and wife in a country where the literacy rate is 42 percent, we need to substitute x = 42 into the regression equation to find the corresponding y value, which represents the predicted age difference. The calculation is as follows: \(\hat{y}=-0.0592 \times 42+8.5\), which gives \(\hat{y}=6.0136\). So, the predicted age difference between husband and wife in a country where the literacy rate is 42 percent is approximately \(\boxed{6.0}\) years.