Answer:A. provide evidence of a causal relationship between an independent variable and the variable to be forecast
Step-by-step explanation: Casual model tends to show the cause and effect relationship between the dependent variable to be forcasted and the independent variables upon which the dependent variable is dependent.
Casual model is frequently used in the field of Statistics and Economics when making forcasts about future investments or the cause of certain events,knowing what activities to carry out in the future.
The next set is the parametric equations of the same line .
x = t, y = 5 and z = -t .
What is the meaning of parametric and non parametric?
- The assumptions behind parametric statistics relate to the population's distribution from which the sample was drawn.
- Since no presumptions are made while using nonparametric statistics, data can be gathered from samples that do not fit any particular distribution.
x + y + z = 5, x + z = 0
the line satisfies
x + z = 0 , y = 5
thus
x = t, y = 5 and z = -t .
the first one is technically already the symmetric equations of the line.
thus:
x = -z ; y = 5
the next set is the parametric equations of the same line .
x = t, y = 5 and z = -t .
Learn more about parametric equations
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Answer:
- 15
Step-by-step explanation:
For this case we have the following function:
By definition, we have that a linear equation is of the form 
On the other hand, a quadratic equation is of the form
Then, the given equation is not a linear equation, it is not of the form
Answer:
No, the equation is not linear. It is not of the form 
Answer:
some statements that are true are :
Step-by-step explanation:
it has only 1 line of reflectional symmetry.
a line of symmetry will connect 2 vertices.
a line of symmetry will connect a vertex and a midpoint of an opposite side.
it has 7 fold symmetry.
a line of symmetry will connect the midpoints of 2 opposite sides.
