The attached file is the points graphed.
So what is a linear function?
<span>If it is a linear function, its graph will be a straight line.
</span><span>It also must have either one or two variables. If there is another variable is, it must be a known variable or constant.
</span>
The points and the graph satisfy both of these things, so we know the answer is not B or D.
So, let's look at both answer choices.
<span>
A.It is a linear function because the input values are increasing.
C.</span><span>It is a linear function because there is a constant rate of change in both the input and output.
Well, according to our criteria, the input values don't need to be increasing for it to be linear. But, we do know that there must be a constant rate of change in both the input and output.
So, the answer is C. </span>It is a linear function because there is a constant rate of change in both the input and output.<span>
</span>
Answer:
<em>9/5</em>
Step-by-step explanation:
- Create an Equation: <em>x^2 = 3 + 6/25</em>
- Simplify the Right Side: <em>3 + 6/25 = 75/25 + 6/25 = 81/25</em>
- Substitute the Values back into the Equation: <em>x^2 = 81/25</em>
- Solve for x by taking the Square Root of Both Sides: <em>x = √81/25</em>
- Simplify: <em>x = √81/√25 = 9/5</em>
<em />
Sincerely,
<em>Gigabyte</em>
Answer:
The answer is C
Step-by-step explanation:
There are 3 y's and there are three z's
3(y+z) means that you are multiplying 3 and y, and 3 and z which gives you 3y+3y
Which also equals y+y+y+3z
Answer:
0.166667 - Common Ratio
step by step
Formula Used: Common Ratio=First term/Consecutive Term
Calculation: 0.166667=(-14)/(-84)
Answer:

But we need to calculate the mean with the following formula:

And replacing we got:

And for the sample variance we have:

And thi is the best estimator for the population variance since is an unbiased estimator od the population variance 

Step-by-step explanation:
For this case we have the following data:
1.04,1.00,1.13,1.08,1.11
And in order to estimate the population variance we can use the sample variance formula:

But we need to calculate the mean with the following formula:

And replacing we got:

And for the sample variance we have:

And thi is the best estimator for the population variance since is an unbiased estimator od the population variance 
