Suppose a doctor measures the height, x, and head circumference, y, of 8 children and obtains the data below. The correlation coefficient is 0.860 and the least squares regression line is y=0 209x+11.647. Complete parts (a) and (b) below A Height, x 27 25.5 26.5 25 25 27 75 26 75 Head Circumference, y 172 169 17.1 17.0 17.5 17.1 (a) Compute the coefficient of determination, R R²=% (Round to one decimal place as needed.) (b) Interpret the coefficient of determination and comment Approximately of the variation in residual plot, the linear model appears to be 26 26 75 27 25 27 25 27 17.1 174 173 173 174 on the adequacy of the linear model is explained by the least squares regression model. According to the

Q: 1. Directions: Perform what is being asked. Write your answers on the spaces provided. 1. SJS…

A: (a) Obtain the value of correlation The value of correlation is obtained below as follows:

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