Answer:
We can infer a cause-and-effect relationship because multiple variables were included.
Step-by-step explanation:
The multiple attributes for the divorced ones are
1) less physically active
2) an unhealthy weight,
3) smokers.
The attribute showing the % of the married is
1) death
So when we compare the two groups married and divorced we see different variables are involved in evaluating the percentage.
This shows a cause and effect involving multiple variables.
In cause and effect one variable is dependent and the other is independent.
The cause is the independent variable and effect is the dependent variable.
CAUSE EFFECT
Married Death
Divorced 1) less physically active
2) an unhealthy weight,
3) smokers.
The vertex of the graph of the function g(x) = (x- 3)^2 + 9 is 3 units to the right and 9 units up of the vertex of the function f(x) = x^2.
Answer:
Here is the representation of a histogram. This represents in a continuous distribution the probability frequency of the books that Pedro had read in the summer.
Know that the probability frequency is:
Eat!! Sleep!! and do what ever they want!!
or they just build a house
