Six Sigma Green Belt Certification 2025 – 400 Free Practice Questions to Pass the Exam

A correlation coefficient of 0.9 indicates a strong positive relationship between the two variables being studied—in this case, the amount of snowfall and the number of skis sold. This means that as the amount of snowfall increases, the number of skis sold tends to also increase.

A correlation coefficient close to +1 signifies that the two variables move in the same direction. Therefore, when one goes up, the other typically goes up as well, which aligns with the provided answer. The strong positive correlation suggests that higher snowfall could lead to greater sales of ski equipment, likely due to increased interest in winter sports during snowy conditions.

The other options imply relationships that contradict the interpretation of a positive correlation. For instance, stating that an increase in snowfall causes a reduction in the number of skis sold or that snowfall leads to a decrease in ski sales would suggest a negative correlation, which is not supported by a coefficient of 0.9. Thus, understanding the concept of correlation and its numerical value is crucial for interpreting the data accurately.