For this case we have the following expression:

Rewriting the expression we have:

Where,
x: exponent to which we must raise the expression to obtain 7 as a result.
We have then:

The exponent must be equal to 1:

Clearing x we have:

Substituting valres:
Answer:
you must raise the expression to 2
Answer:
5000
Step-by-step explanation:
Answer: The rate of change is 11.6666...
Step-by-step explanation:
You subtract 95 by 60 and you get 35.
You divide it by 3 because it happened over 3 weeks.
After dividing your answer is 11.6666...
Answer:
5
Step-by-step explanation:
-5 + 5 = 0
When calculating correlation and regression both sets of data must be Statistical.
According to the statement
we have to find the type of data when we calculate the correlation and regression both sets.
so, The difference between these two statistical measurements is that correlation measures the degree of a relationship between two variables (x and y), whereas regression is how one variable affects another.
And when we calculate both then data sets must be a statistical data. because correlation summarizing direct relationship between two variables and regression predict or explain numeric response. So, without statistical data this is not possible to calculate correlation and regression both sets.
so, When calculating correlation and regression both sets of data must be Statistical.
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