Answer:
(A)Simple First Order Model with Two Predictor Variables.
Step-by-step explanation:
A multiple linear regression model with k predictor variables X₁, X₂, ..., Xₖ and a response Y, can be written as:
y = βₒ + β₁x₁ + β₂x₂ + ··· βₖxₖ + ∈.
Where:
x₁ , x₂,...xₖ are the predictor variables.
βₒ ,β₁, β₂ ··· βₖ are the Regression Coefficients.
and ∈ are the residual terms of the model
Multiple regression models describe how a single response variable y depends linearly on a number of predictor variables x.
The model:
y = βₒ + β₁x₁ + β₂x₂ + ∈ has two predictor variables. It is also of first order since there is no quadratic term, therefore it is a Simple First Order Model with Two Predictor Variables.
Answer:
Step-by-step explanation:
see the attached figure to better understand the problem
step 1
Find the measure of angle ADB
Remember that the sum of the interior angles in any triangle must be equal to 180 degrees
so
In the triangle ADB
Triangle ADB is an equilateral triangle (has three equal interior angles and three equal sides)
step 2
Find the measure of the angle CBD
we know that
An isosceles triangle has two equal sides and two equal angles
In this problem triangle BDC is an isosceles triangle
Because
AB=BC ---> given problem
AB=BD ---> by equilateral triangle
BD=BC ----> by transitivity
therefore
we have
so
Remember that the sum of the interior angles in any triangle must be equal to 180 degrees
so
In the triangle BDC
substitute the given values
Step-by-step explanation:
The equation of the line is y = 4x - 9.
Answer:
A) -3/2 = False
B) -2/-3 = False
C) 2/-2 = False
D) -3/-2 = False
E) - 2/3 = True
F) 2/3 = False
Step-by-step explanation: