Answer:
they all go straight across
Step-by-step explanation:
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:well from the upper left to the middle bottom you are decreasing I think....
Step-by-step explanation:
The answer is 5/448
in percentage form 1.116%