The figure for given Exercise is a scatterplot of pulse rate after marching in place for 1 minute (y) versus resting pulse rate measured before marching (x) for n 5 63 individuals. (The data are in the pulsemarch dataset on the companion website.) The regression equation for these data is
Pulse after Marching = 17.8 + 0.894 (Resting pulse)
a. What is the slope of this equation? Write a sentence that interprets this slope in the context of this situation.
b. Predict the pulse rate after marching for somebody with a resting pulse rate of 50 beats per minute.
c. Predict the pulse rate after marching for somebody with a resting pulse rate of 90 beats per minute.
d. Use the results of parts (b) and (c) to draw the regression line. Clearly label the axes of your graph.
Exercise
The figure for this exercise is a scatterplot of y = pulse rate after marching in place for 1 minute versus x = resting pulse rate measured before marching in place. (The data are in the pulse march dataset on the companion website.)
a. Does the plot show a positive association, a negative association, or no association between the two variables? Explain.
b. Explain whether you think the pattern of the plot is linear or curvilinear.
c. According to MayoClinic.com normal resting pulse rates for adults range from about 60 to 100, and for well-conditioned athletes they range from about 40 to 60. Using this information, explain whether there are any outliers in the scatterplot that are obvious mistakes. If there are outliers, describe where they are located on the plot.