Answer:
D). r = 0.8
Step-by-step explanation:
A correlation coefficient is a statistical measure that shows the strength of a relationship between two variables.
• When the correlation coefficient is -1.0, it means there is a perfect negative correlation (the linear model has a negative slope).
• When the correlation coefficient is 1.0, it means there is a perfect positive correlation. Here a ,positive increase in one variable, will ,result to an increase, in the other variable.
The scatter plot shows a positive correlation. This correlation is almost perfect.
Therefore, a reasonable estimate of the correlation coefficient will be 0.8.