Using the sample data from the accompanying table, complete parts (a) through (e). Click the icon to view the data table. (a) Predict the mean head circumference of children who are 25.75 inches tall. (b) Construct a 95% confidence interval for the mean head circumference of children who are 25.75 inches tall. The 95% confidence interval for the mean head circumference of children who are 25.75 inches tall is lower bound:; upper bound:. (c) Predict the head circumference of a randomly selected child who is 25.75 inches tall. (d) Construct a 95% prediction interval for the head circumference of a child who is 25.75 inches tall. The 95% prediction interval for the head circumference of a child who is 25.75 inches tall is lower bound:; upper bound:. (e) Explain the difference between the predictions in parts (a) and (c). Choose the correct answer below. A. In (a) and (b) the mean head circumference (a point estimate and an interval estimate) is predicted for a single child who is 25.75 inches tall. In (c) and (d) the head circumference (a point estimate and an interval estimate) is predicted for the population of all children who are 25.75 inches tall. B. In (a) and (b) the mean head circumference (a point estimate and an interval estimate) is predicted for the population of all children who are 27.75 inches tall. In (c) and (d) the head circumference (a point estimate and an interval estimate) is predicted for a single child who is 27.75 inches tall. C. In (a) and (b) the mean head circumference (a point estimate and an interval estimate) is predicted for the population of all children who are 25.75 inches tall. In (c) and (d) the head circumference (a point estimate and an interval estimate) is predicted for a single child who is 25.75 inches tall. The least-squares regression equation is y = 0.1827x + 12.4932.