Data were gathered on how high dolphins jump from the surface of the water based on body length and graphed on a scatterplot. 26 24 Height of Jump, feet 22 20 18 8 . 16 14 12 10 5 6 7 8 LD 10 Dolphin Body Length, feet Part A: Interpret the scatterplot. Comment on the association, form, strength, and outliers. (5 points) Part B: The correlation coefficient of the data is r = 0.91. Does this correlation make sense based on the interpretation in part A? Explain. (5 points) (10 points)

The scatterplot shows the association between the height of a dolphin's jump and its body length. The points on the scatterplot generally form a linear pattern, indicating a positive association between the two variables. This means that, in general, as the body length of a dolphin increases, the height of its jumps also tends to increase.
The high correlation coefficient of 0.91 does make sense based on the interpretation of the scatterplot in part A. The strong positive association between the two variables, as shown by the linear pattern on the scatterplot, is consistent with a high correlation coefficient. This suggests that the relationship between dolphin body length and jump height is indeed strong, as indicated by the data.

A scatterplot is a graphical tool used to visualize the relationship between two numerical variables. It uses dots to represent the values of the variables, with the position of each dot on the horizontal and vertical axes representing the values of the variables for a given data point. By examining the pattern of the dots on the scatterplot, you can infer the relationship between the two variables. For example, if the dots form a roughly straight line, there may be a linear relationship between the variables.

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