When an anthropologist finds skeletal remains, they need to figure out the height of the person. The height of a person (in cm) and the length of their metacarpal bone (in cm) were collected for 18 sets of skeletal remains. The data are in the table below. X, length of metacarpal (in cm) Y, height (in cm) 42 161 40 160 38 157 52 176 47 172 47 175 46 173 48 174 46 169 39 159 51 180 49 170 40 163 41 162 45 173 50 178 44 171 42 175 f) Should you use the regression equation to predict the height of a randomly selected set of skeletal remains that has a length of metacarpal of 44 cm? yes, this X-value is between Xmin and Xmax Should you use the regression equation to predict the height of a randomly selected set of skeletal remains that has a length of metacarpal of 63 cm? no, this X-value is not between Xmin and Xmax Looking at your answers above, predict the height for the one above that it made sense to do so. Make sure you use the stored equation and not the rounded equation from part c. Round final answer to 2 decimal places. The predicted height for a randomly selected set of skeletal remains that has a length of metacarpal of 44 cm is 168.12 cm g) Compute the residual for the following ordered pair in the data: (47, 175). Make sure you use the stored equation and not the rounded equation from part c. Round final answer to 2 decimal places. The residual for the set of skeletal remains with a length of metacarpal of 47 cm is 172.44 x g) Compute the residual for the following ordered pair in the data: (47, 175). Make sure you use the stored equation and not the rounded equation from part c. Round final answer to 2 decimal places. The residual for the set of skeletal remains with a length of metacarpal of 47 cm is 172.44 x cm Interpret what this value means in the context of this problem. The actual height of a randomly selected set of skeletal remains with a length of metacarpal of 47 cm is 2.56 cm above what was predicted.