Question

In linear regression the parameters are

a.strictly integers

b.always lies in the range [0,1]

c.any value in the real space

d.any value in the complex space

Answer 1

a is the answer okokoojokokojo

Answer 2

In linear regression the parameters are any value in the real space

explanation:

• The term "multiple linear regression" alludes to the fact that the model's parameters are linear.

• The regression function is a sum of these "parameter times -variable" terms, which essentially means that each parameter multiplies a -variable.

• The link between the parameters you're estimating (e.g. β) and the outcome is referred to as linear (e.g. $yi$)
• When each term is either a constant or the product of a parameter and a predictor variable, the model is linear.
• Each term's results are added together to form a linear equation.