A local principal wants to show evidence that there are benefits to studying in terms of GPA. A sample of the data collected is below, showing the hours per week (on average) that students studied and their corresponding GPAs.

Calculate the correlation coefficient [tex]r[/tex] using a TI-83, TI-83 Plus, or TI-84 graphing calculator, rounding to two decimal places.

\begin{tabular}{|c|c|}
\hline
Study Time (Hours) & GPA (out of 4.0) \\
\hline
13.6 & 3.58 \\
\hline
1.6 & 2.37 \\
\hline
5.1 & 2.57 \\
\hline
1.7 & 2.28 \\
\hline
10.2 & 3.68 \\
\hline
19.7 & 3.69 \\
\hline
7.6 & 3.17 \\
\hline
0.5 & 2.03 \\
\hline
4.4 & 2.56 \\
\hline
19.2 & 3.51 \\
\hline
\end{tabular}



Answer :

To calculate the correlation coefficient [tex]\( r \)[/tex] between the study hours and GPA using a T1-83, T1-83 Plus, or T1-84 graphing calculator, follow these steps:

1. Enter Data:
- Press the `STAT` button.
- Select `1:Edit` to enter data into lists.
- Enter the study times into list [tex]\( L1 \)[/tex] and GPAs into list [tex]\( L2 \)[/tex]. Make sure each pair (study time and corresponding GPA) is entered in a corresponding position in both lists.

[tex]\[ L1: 13.6, 1.6, 5.1, 1.7, 10.2, 19.7, 7.6, 0.5, 4.4, 19.2 \][/tex]
[tex]\[ L2: 3.58, 2.37, 2.57, 2.28, 3.68, 3.69, 3.17, 2.03, 2.56, 3.51 \][/tex]

2. Calculate Correlation Coefficient:
- After ensuring that all data pairs are entered correctly, press `STAT` again.
- Navigate to the `CALC` menu.
- Select `4:LinReg(ax+b)` and press `ENTER`.
- It will display the linear regression equation. Ensure that the lists [tex]\( L1 \)[/tex] and [tex]\( L2 \)[/tex] are used:
[tex]\[ LinReg(ax+b) \, L1, L2 \][/tex]
- Press `ENTER` to execute the calculation.

3. Interpretation of Result:
- The calculator will display several statistics, including [tex]\( a \)[/tex] (the slope), [tex]\( b \)[/tex] (the y-intercept), and [tex]\( r \)[/tex] (the correlation coefficient).

4. Round the Correlation Coefficient:
- Locate the value of [tex]\( r \)[/tex]. This is the correlation coefficient.
- Round this value to two decimal places to get the final answer.

In this case, the correlation coefficient [tex]\( r \)[/tex] is found to be:
[tex]\[ r = 0.90 \][/tex]

So, the correlation coefficient between the hours studied and GPA, rounded to two decimal places, is [tex]\( 0.90 \)[/tex].