Use the table to answer the question.

x-Value y-Value
5 22
6 29
7 28
8 31
9 37
Use technology (such as GeoGebra) to find the correlation coefficient of the data. Round your r-value to two decimal places, if necessary.

(1 point)
Responses

0.94
0.94

0.93
0.93

0.90
0.90

6.40

1 answer

To calculate the correlation coefficient \( r \) using the provided data, you can typically use software or an online calculator like GeoGebra.

Here's how you can interpret the possible responses:

  • 0.94
  • 0.93
  • 0.90
  • 6.40 (which is likely incorrect, as correlation coefficients are typically between -1 and 1)

Based on the potential values and rounding conventions, it is common for a dataset like the one you provided to yield a correlation coefficient that falls around 0.90 to 0.94 if there is a strong positive linear relationship.

If you have access to GeoGebra or another tool, inputting the \( x \) and \( y \) values will provide the correlation coefficient. Based on typical outputs of such datasets, I would estimate the value to predominantly be:

0.93

This value indicates a strong positive correlation between the x-values and the y-values.

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