Answer:
use formula
(x,y) =[ (x1+x2)/2 ,(y1+y2/2)]
=[(-2-8)/2, (3-9)/2]
=(-10/2 ,-6/2)
=(-5,-3)
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.
The answer is square root of 72
Only the first choice is correct.
sorry about my previous comments; they were from misunderstanding.
Answer:
69%
Step-by-step explanation:
if there are 69 packs of mint gum and 31 packs of friut gum 69+31=100
so 69 out of 100 (packs of mint gum) would be 69% of 100