MULTIPLE CHOICE: If an ordered pair was added to the table, which of the following pairs would result in the table becoming not
a function.
(A) (– 8, 8)(C) (8, 3) (B) (6, 3)(D) (– 3, 4)
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(A) (– 8, 8)(C) (8, 3) (B) (6, 3)(D) (– 3, 4)
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2 answers:
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Answer:
A. 1:8
Step-by-step explanation:
We have been given that several students were asked to name the kinds of animals they saw in the past week at the park.
Dogs: 8
Cat: 2
Fish: 4
Lizard: 2
We are asked to find the ratio that compares the number of cats seen to the total number of animals seen.
Let us find total number of animal by adding each type of animals as:
We can see that the students saw 2 cats, so ratio of cats to total animals would be .
Dividing 2 and 16 by 2, we will get:
Therefore, the ratio 1:8 compares the number of cats seen to the total number of animals seen and option A is the correct choice.
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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