Determine if the quantities in the data table are in a proportional relationship. If they do not have a proportional relationship, indicate why. (1 point) Responses Yes, this data table has a proportional relationship. Yes, this data table has a proportional relationship. No, none of the ratios have equivalence. No, none of the ratios have equivalence. No, not all of the ratios are proportional or have equivalence. No, not all of the ratios are proportional or have equivalence. No, you can’t bike 12 miles in an hour.

No, none of the ratios have equivalence.

To determine if the quantities in the data table are in a proportional relationship, we need to check if the ratios between the values are constant.

Unfortunately, you have not provided the data table, so I cannot determine if the quantities are in a proportional relationship. Please provide the data table for further analysis.

To determine if the quantities in the data table are in a proportional relationship, we need to compare the ratios of each pair of quantities.

If the quantities are in a proportional relationship, their ratios should be equal. To find the ratio between two quantities, divide one quantity by the other.

For example, let's say we have a data table with two quantities: distance traveled in miles and time taken in hours.

To check if the ratios are equal, calculate the ratio for each pair of quantities and compare them.

If all the ratios are equal, then the data table has a proportional relationship. You would respond with "Yes, this data table has a proportional relationship."

If none of the ratios are equal, then the data table does not have a proportional relationship. You would respond with "No, none of the ratios have equivalence."

If some ratios are equal, but others are not, then the data table does not have a proportional relationship. You would respond with "No, not all of the ratios are proportional or have equivalence."

The statement "No, you can’t bike 12 miles in an hour" seems to be unrelated to the question and is not relevant in determining if the quantities in the data table are proportional.