Based on the data given, the conclusion that can be drawn from the correlation coefficient associated with the linear equation is C. There's a weak negative correlation between the variables.
<h3>How to illustrate the information?</h3>
From the information given, it can be seen that the value of y is increasing with the increase in the value of x.
This implies that the correlation is positive. Also, the change in the values of y with x are scattered a lot.
Therefore, the conclusion that can be drawn from the correlation coefficient associated with the linear equation is that there's a weak negative correlation between the variables
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Answer:
Step-by-step explanation:
Hello,
Let's develop both expressions and try to re factorise.

Thanks
Answer:
Assuming population data

Assuming sample data

Step-by-step explanation:
For this case we have the following data given:
736.352, 736.363, 736.375, 736.324, 736.358, and 736.383.
The first step in order to calculate the standard deviation is calculate the mean.
Assuming population data

The value for the mean would be:

And the population variance would be given by:

And we got 
And the deviation would be just the square root of the variance:

Assuming sample data

The value for the mean would be:

And the population variance would be given by:

And we got 
And the deviation would be just the square root of the variance:

Answer:
-0.75
Step-by-step explanation: