Answer:
Step-by-step explanation:
(Subtract from both sides of the equation to isolate )
(Simplify)
(Symmetric Property of Equality)
(Divide both sides of the equation by to get rid of 's coefficient; remember that , so has a coefficient of )
(Simplify)
Hope this helps!
The variables have a negative association/correlation, because when one value increases (ex: x) the other decreases (see y)
If you would put a line through the dataset most of the points would be quite a bit off the line so the association is only moderate and not strong
so the answer is it is a "moderate negative association"
Answer:
In a paragraph proof, statements and their justifications are written in sentences in a logical order.
A two-column proof consists of a list statements and the reasons the statements are true.
A paragraph proof is a two-column proof in sentence form.
Step-by-step explanation:
- In a paragraph proof, statements and their justifications are written in sentences in a logical order.
- A two-column proof consists of a list statements and the reasons the statements are true.
- A paragraph proof is a two-column proof in sentence form.
A paragraph proof is only a two-column proof written in sentences. However, since it is easier to leave steps out when writing a paragraph proof.
A two-column geometric proof consists of a list of statements, and the reasons that we know those statements are true. The statements are listed in a column on the left, and the reasons for which the statements can be made are listed in the right column
Sanji scored 44 points more in the third round than in the first round.
Answer:
The relative variability is almost equal in both samples a slight greater variability can be noticed in the first sample.
Step-by-step explanation:
The coefficient of variation of a sample is defined as the ratio between the mean standard deviation and the sample mean. And it represents the percentage relation of the variation of the data with respect to the average.
In the case of the first sample you have:
In the case of the second sample you have:
The relative variability is almost equal in both samples a slight greater variability can be noticed in the first sample.