Question

Laura compared the player statistics from her team's tennis season serves. What should she say based on her findings?

a) There is no correlation between height and serve speed.

b) There is a correlation between height and serve speed. There may or may not be an increase in height.

c) There is a correlation between height and serve speed. However, there is no increase in height.

d) Other

Answer 1

Based on Laura's findings, she should say that there is a correlation between height and serve speed, but it is uncertain if there is an increase in height.

Step-by-step explanation:

Based on Laura's findings, she should say that there is a correlation between height and serve speed. However, it is not certain whether there is an increase in height.

To support her statement, Laura could use scatter plots to compare the independent variable (height) and the dependent variable (serve speed) of the player statistics. By analyzing the scatter plot, Laura can determine if there is a pattern or relationship between the two variables.

Additionally, to analyze the strength and direction of the correlation, Laura can calculate the least-squares line, which represents the relationship between height and serve speed. She can also find the correlation coefficient, which quantifies the strength and direction of the correlation. The correlation coefficient will indicate if the correlation between height and serve speed is significant.