Question

The parameters obtained in linear regression
a) can take any value in the real space
b) are strictly integers
c) always lie in the range [0,1]
d) can take only non zero values

Answer 1

Answer:can take any value in real space

Explanation:

Answer 2

Answer:  

It can take any value in the real space.

Explanation:

An analysis between single covariate and a response variable is called linear regression. The equation is,

$\bold{Y_{i}=\beta_{0}+\beta_{1} X_{i}+\epsilon_{i}}$

In given equation,

$\bold{\beta_{0}, \beta_{1}}$ – are the parameters. $\bold{\beta_{1}}$ is the regression line slope that indicates the change in the mean of responsible variable per unit increase in the predictor variable. $\bold{\beta_{0}}$ is the cut of the regression line.

Those parameters values may be anything for example positive or negative that it why it accepts any value in the real space.