Coco is training for a triathlon and has been trying to increase the length of time she can hold their breath. She notices that 5 minutes after she finishes holding her breath, her heart rate has elevated like a workout as her heart works to restore oxygen to her body. She decides to study this relationship and over several weeks times holding her breath for various lengths and her heart rate 5 minutes after she resumes breathing. The linear model is y = 0.7742x + 37.6, where x = seconds and y = heart rate 5 minutes after athlete resumes breathing. The interval of seconds was 35 x 130 seconds and the range of heart rates fell within the interval 64 y 142 beats per minutes. R2 = 0.9817 (77, 94) is a data point used in the study. Find the residual for this data point. Round to the nearest whole number. Include the correct sign of the residual. Make note of how small the residual value's magnitude is relative to the size of the y-value of the model. This is an indication of a model that fits the data well