Answer:
Time - independent variable
Score in test - dependent variable
Step-by-step explanation:
The relationship between Dependent and independent variables lies in the fact that, the outcome (dependent variable) relies on the value of the independent variable. Hence, the independent variable could be explained as a series of different possible values which has an effect on the value of the predicted variable. In an experiment, the dependent variable is predicted based on the input or value of the independent variable entered into the model.
Hence, in the scenario above, the study time could take up series of different possible values which could affect the score obtained in her tests. Hence, the test scores depends on the time dedicated to studying, making score obtained in test the dependent variable and the study time the independent variable.
L = Lower box tickets amount.
U = Upper box tickets amount.
we know the whole amount sold were 254 of both, thus
L + U = 254.
since we know the price of L is 12.5 for each, then the amount of money sold total for all of them has to be 12.5 * L, or
12.5L.
and the U is 10, so its total amount of money for it is
10U.
we also know that the total amount for both spent was 2745, thus
12.5L + 10U = 2745.
so, 172 Upper box tickets were sold then.
how many Lower box tickets were sold? well,
L = 254 - U
Multiply the numerator x numerator then you multiply denominator x denominator