Question: Which of the following options could use both intercepts to produce viable solutions?(1 point)(temperature, number of car rentals)(number of nominations, number of awards)(age, weight)(years of experience, starting salary)

To determine which of the given pairs can use both intercepts to produce viable solutions, we need to consider the nature of the relationship between the two variables in each pair.

1. **(temperature, number of car rentals)**: This relationship could potentially have both intercepts. For example, if the temperature were zero (or negative), it might not make sense for car rentals, but a certain threshold temperature might maximize rentals. Thus, while it can be modeled, the practicality of both intercepts is questionable.

2. **(number of nominations, number of awards)**: This is a more linear relationship where typically, more nominations would lead to more awards, but the relationship doesn't clearly indicate viable solutions at both intercepts since having zero nominations generally implies zero awards, making the intercepts more abstract.

3. **(age, weight)**: This varies by individual; there isn't a clear correlation that would work with intercepts meaningfully in a general sense. Age could correlate to a range of weights, but the relationship is not linear or consistent enough to have meaningful intercepts for viability.

4. **(years of experience, starting salary)**: This is a relationship that typically has a positive correlation where more years of experience would often lead to a higher starting salary. It can have viable intercepts (such as an entry-level salary) and can be more predictable in practical applications.

Considering these analyses, **the pair (years of experience, starting salary)** could use both intercepts to produce viable solutions, as it presents a more definitive model with clearer intercept interpretations.