Answer:
Step-by-step explanation:
The response variable is also called as the outcome variable or dependent variable. The changes occurring in the response variable is due to changes in the independent variable.
In the given situation, the response of new fertilizer on the tomato plants is to be checked. Hence, the growth of tomato plants is the response variable. The new fertilizer is the independent variable.
Answer: the lines are parallel to each other
Step-by-step explanation:
First, what we can do is solve both equations for y, putting them in slope-intercept form, y = mx + b:
2y = 8x + 6 3y = 12x - 3
/ 2 / 2 / 3 / 3
y = 8x/2 + 6/2 y = 12x/3 - 3/3
y = 4x + 3 y = 4x - 1
For both equations, m = 4, or they have the same slope of 4. Lines that have the same slope are parallel to each other.
I hope this helps! :)
Answer:
C. Within a few years the population increases dramatically
True. As we can see on the function if we increase the time by 10 units for example the final amount is increasing by a factor of and that represent a dramatically increase.
Step-by-step explanation:
When we have a exponential growth model the general formula is given by:
Since says "growth" the rate of increase r>0, represent the initial amount and A the amount after the time t.
Assuming the possible options for the answer. We analyze one by one
A. Each individual plant grows much larger than usual
False, for this model we assume that all the individuals in the population modeled have similar characteristics, because if the individuals are different we can't use a deterministic model like this one.
B. The population immediately decreases
False. We are assuming that the model is for a growth rate so then is not possible to have a decrease.
C. Within a few years the population increases dramatically
True. As we can see on the function if we increase the time by 10 units for example the final amount is increasing by a factor of and that represent a dramatically increase.
D. The specie's reproductive potential declines
False, we are considering a growth model in which it makes no sense to consider that the potential, population or quantity measured decrease.