Answer:

Step-by-step explanation:
We have the exponential function of the form:

And it goes through the points (0, 13) and (3, 832).
Hence, when we substitute in 0 for x, we should get 13 for y. Therefore:

Since anything to the zeroth power is 1, this yields:

So, we determined that the value of a is 13.
So, our function is now:

We will need to determine b. We know that y equals 832 when x is 3. Hence:

Divide both sides by 13:

Take the cube root of both sides:

Hence, our b value is 4.
Therefore, our entire equation is:

Answer:
The height of the building is 
Step-by-step explanation:
see the attached figure to better understand the problem
we know that
In the right triangle ABC

we have

substitute and solve for BC


Find the height of the building
The height of the building (h) is equal to

Answer:
-1/18
Step-by-step explanation:
Let's multiply left and right by 3n:
2 = -12 * 3n =>
-36n = 2
now divide by -36:
n = 2/-36 = -1/18
A statement which best describes the strength of the correlation, and the causation between the variables is that: D. it is a strong positive correlation, and it is likely causal.
<h3>What is a positive correlation?</h3>
A positive correlation can be defined as a terminology that is used to described a scenario (situation) in which two variables move in the same direction and are in tandem.
This ultimately implies that, a positive correlation exist when two variables have a linear relationship or are in direct proportion. Hence, when one variable increases, the other increases as well, and vice-versa.
By critically observing the scatter plot (see attachment) which models the data in the given table, we can infer and logically deduce that the value on the y-axis (circumference) increases as the value on the x-axis (radius) increases, so this is a strong positive correlation.
Also, we know that there exist a direct relationship between the circumference of a circle and its radius, so this relationship is most likely causal.
In conclusion, a statement which best describes the strength of the correlation, and the causation between the variables is that it's a strong positive correlation, and it is likely causal.
Read more on positive correlation here: brainly.com/question/10644261
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Answer:
what are u trying to say explain more please