Answer Happy

Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 136 to 189 cm and weights of 38 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yieldx=167.85 cm, y=81.51 kg, r=0.249, P-value=0.012, and y=-103+1.17x Find the best predicted value of (weight) given an adult male who is 178 cm tall. Use a 0.10 significance level The best predicted value of y for an adult male who is 178 cm tall is kg. (Round to two decimal places as needed.) CUS
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. B 11 P 8.40 8.94 X 12 y 8.56 5 6 10 13 3 5.34 6.64 9.04 7.91 1.91 4 3.76 ŷ=x (Round to two decimal places as needed.) 7 7.65 9 8.85 CELLE
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 48 inches. Is the result close to the actual weight of 318 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r 58 49 58 43 46 57 O 355 266 332 177 246 348 What is the regression equation? x(Round to one decimal place as needed.)
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 95 mm Hg. Use a significance level of 0.05. Right Arm Left Arm 101 100 94 77 176 170 149 145 Click the icon to view the critical values of the Pearson correlation coefficient r 78 0 The regression equation is y=-x (Round to one decimal place as needed.) 147