Final answer:
The expected correlation between Eduardo's practice hours and golf scores is a negative correlation, implying that more practice would lead to lower (better) scores. The correlation coefficient measures the strength of this relationship, with a value near 0 indicating a weak relationship.
Step-by-step explanation:
The type of correlation between Eduardo's practice hours and golf scores would be expected to be a negative correlation. This implies that as Eduardo practices more hours (the independent variable), his golf scores should decrease (improving), which is the dependent variable. Therefore, as one variable increases, the other decreases. In a negative correlation, the correlation coefficient (r) would be between -1 and 0.
In terms of the correlation coefficient, it indicates the weakest relationship when it is closest to 0. A value close to -1 or 1 indicates a strong negative or positive correlation, respectively, while a value near 0 suggests no correlation.
Reflecting on examples of correlation can help in understanding. For instance, a positive correlation might be seen between height and weight, where both typically increase together. Conversely, a negative correlation is when two variables move in opposite directions, such as tiredness during the day and hours of sleep the previous night.