A pediatrician wants to determine the relation that exists between a child's height, x, and head circumference, y. She randomly selects 11 children from her practice, measures their heights and head circumferences and obtains the accompanying data. Complete parts (a) through (e). Click the icon to view the data table. (a) Find the least-squares regression line treating height as the explanatory variable and head circumference as the response variable. The least-squares regression line is y=x+ (Round to four decimal places as needed.) i Data Table Full data set Head Head Height, x circumference, Height, x circumference, (inches) y (inches) (inches) y (inches) 27.75 17.5 26.5 17.3 24.5 27 17.5 17.1 17.1 25.5 26.75 17.3 25.5 17.1 26.75 17.5 25 16.9 27.5 17.5 27.75 17.6 A pediatrician wants to determine the relation that exists between a child's height, x, and head circumference, y. She randomly selects 11 children from her practice, measures their heights and head circumferences and obtains the accompanying data. Complete parts (a) through (e). Click the icon to view the data table. (a) Find the least-squares regression line treating height as the explanatory variable and head circumference as the response variable. The least-squares regression line is y=x+ (Round to four decimal places as needed.) i Data Table Full data set Head Head Height, x circumference, Height, x circumference, (inches) y (inches) (inches) y (inches) 27.75 17.5 26.5 17.3 24.5 27 17.5 17.1 17.1 25.5 26.75 17.3 25.5 17.1 26.75 17.5 25 16.9 27.5 17.5 27.75 17.6