To determine the correlation between the number of hours driving and the number of gallons of gas used, we need specific data points that show the relationship between these two variables. Correlation measures the direction and strength of a linear relationship between two variables. There are three possible scenarios:
1. Positively Correlated: As one variable increases, the other variable also increases. For example, the more hours you drive, the more gallons of gas you would typically use.
2. Negatively Correlated: As one variable increases, the other variable decreases. For example, if driving efficiency improves over time, you might use fewer gallons of gas for each additional hour driven.
3. No Correlation: There is no apparent relationship between the two variables. Changes in one variable do not systematically predict changes in the other.
However, to identify which scenario applies, we must have actual data points or a detailed description of the relationship based on observations. In this case, we lack the necessary data or description to determine the correlation between hours driving and gallons of gas used. Therefore:
3. What is the correlation between the number of hours driving and the number of gallons of gas used?
Not enough information is given.
