Which of the following options could use both intercepts to produce viable solutions? (1 point)

None of the options mentioned can use both intercepts to produce viable solutions because intercepts are typically used to find the initial values or conditions in an equation. However, in the given options, there is no clear relationship between the variables where intercepts would be meaningful.

So then which ones correct

Apologies for the confusion earlier. Among the options mentioned, the one that could potentially use both intercepts to produce viable solutions is:

- (temperature, number of car rentals)

If we assume that temperature affects the demand for car rentals, then the intercepts in this case would represent the number of car rentals when the temperature is 0 degrees (or very cold) and when the temperature is at its maximum (or very hot). By analyzing the data and observing the trend between temperature and the number of car rentals, we could potentially determine how temperature impacts the demand for car rentals.

To determine which options could use both intercepts to produce viable solutions, we need to understand what an intercept means in each option.

1. (number of nominations, number of awards): In this option, the intercepts represent the starting point on the axes. However, it is unclear whether both intercepts have meaningful interpretations as they may not directly relate to each other.

2. (years of experience, starting salary): Here, the intercepts represent the values when the corresponding variable is zero. In this case, both variables can have meaningful interpretations, and using intercepts could lead to viable solutions, such as predicting starting salary based on years of experience.

3. (age, weight): In this option, intercepts could indicate the values when age and weight are zero. However, we cannot directly relate these variables, so using intercepts may not produce viable solutions.

4. (temperature, number of car rentals): Although intercepts can represent the values when temperature and number of car rentals are zero, these variables also don't have a direct relationship. Hence, using intercepts may not lead to viable solutions.

Based on this analysis, the only option that could potentially use both intercepts to produce viable solutions is (2) (years of experience, starting salary).