Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 130 to 194 cm and weights of 37 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 167.44 cm, y=81.37 kg, r=0.412, P-value = 0.000, and = -109 +1.11x. Find the best predicted value of (weight) given an adult male who is 153 cm tall. Use a 0.10 significance level. The best predicted value of y for an adult male who is 153 cm tall is kg. (Round to two decimal places as needed.) a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (2,9), use the pairs of values for the remaining 9 points and find the equation of the regression line. c. Compare the results from parts (a) and (b). a. What is the equation of the regression line for all 10 points? + x (Round to three decimal places as needed.) Ay 10- 8- 6- 2- 0- 0 2 4 6 8 10 The data show systolic and diastolic blood pressure of certain people. Find the regression equation, letting the systolic reading be the independent (x) variable. If one of these people has a systolic blood pressure of 150 mm Hg, what is the best predicted diastolic blood pressure? Systolic Diastolic 139 101 118 145 133 141 138 139 61 82 74 104 79 136 74 74 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? = + x (Round to two decimal pla Critical Values of the Pearson Correlation Coefficient r Critical Values of the Pearson Correlation Coefficient r n = 0.05 = 0.01 4 0.950 0.990 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468 0.590 19 0.456 0.575 20 0.444 0.561 25 0.396 0.505 30 0.361 0.463 35 0.335 0.430 40 0.312 0.402 ample Get more help 45 0.294 0.378