Respuesta :
The correlation coefficient for the linear regression of the enrollment data is ⇒ 0.996.
There is a VERY STRONG positive linear correlation between the x–value (years since 2000) and y–value (student enrollment).
Add another data point for 2013 — enrollment of 2250 students. What are the new statistics?
Regression equation:
y ≈ ⇒ 85.468x + ⇒ 985.029
Correlation: r ≈ ⇒ 0.988
There is a VERY STRONG positive linear correlation between the x–value (years since 2000) and y–value (student enrollment).
Add another data point for 2013 — enrollment of 2250 students. What are the new statistics?
Regression equation:
y ≈ ⇒ 85.468x + ⇒ 985.029
Correlation: r ≈ ⇒ 0.988
The correlation coefficient for the linear regression of the enrollment data is; 0.996.
What is the Corellation coefficient?
From the given values of x and y, we can tell that there is a very strong positive linear correlation between the x–values which are the years since 2000 and the y–values which are students enrollment.
Now, in the year 2013, we see another added data point which is enrollment of 2250 students. Thus, the the new statistics is gotten from the regression equation:
y = 85.468x + 985.029
Thus;
Correlation is;
r = 0.988
Read more about Correlation Coefficient at; https://brainly.com/question/25822940
