Final answer:
R² represents the proportion of variance in a dependent variable explained by an independent variable in a regression model. If r is 0.6631, then R² is approximately 43.97%, implying that around 44% of the variability in disk drive prices is explained by their capacities.
Step-by-step explanation:
The coefficient of determination, denoted as R², is a statistic that indicates the proportion of the variance for a dependent variable that's explained by an independent variable or variables in a regression model. The value of R² is the square of the correlation coefficient r, and it is generally expressed as a percentage. If the survey of prices for external disk drives resulted in a correlation coefficient r of 0.6631, as in the provided data example, the R² would be calculated as follows:
R² = (0.6631)² ≈ 0.4397
Expressed as a percentage, this R² would be 43.97%, which can be rounded to 44.00%. This indicates that 44.00% of the variability in the prices of these disk drives can be explained by the variability in their capacities.