The percentage of students scoring 85 or better on a mathematics final exam and an English final exam during a recent school year for seven schools is shown in the table below.

Table containing values of percentage of students scoring 85 or better.

Write the linear regression equation for these data, rounding all values to the nearest hundredth.

State the correlation coefficient of the linear regression equation, to the nearest hundredth. 
Explain the meaning of this value in the context of these data. 


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**Tip:** Linear regression finds the "line of best fit," showing how one variable predicts another!

The percentage of students scoring 85 or better on a mathematics final exam and an English final exam during a recent school year for seven schools is shown in the table below.

Write the linear regression equation for these data, rounding all values to the nearest hundredth.

State the correlation coefficient of the linear regression equation, to the nearest hundredth. Explain the meaning of this value in the context of these data.

Learn how to calculate the linear regression equation and correlation coefficient for a dataset representing student scores in mathematics and English exams. This guide covers step-by-step calculations, rounding rules, and interpretation of results, suitable for high school students in Grades 10-12.

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