the answer for 9 is higlighted. i am lost on what is being asked for 10. please explain regression line

9. At the 5% significance level, please test if there is a population correlation between circumference and height. Claim C is not equal to H complement C = H , Ho C - H , Ha C is not equal to H. correlation is .844 p-value 0.000 my test = 5.219 with P-value of 0.000 The p value shows correlation exist between height and circumference. Using the same data of circumference and height from #9, please do the following parts: (a) Find the equation of the regression line. (b) Use that equation from (a) to find the best predicted height of a tree that has a circumference of 10 ft. What is an advantage of being able to determine the height of a tree from its circumference