Answer:
<em>In statistics, linear regression is a linear approach to modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables). The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.</em>
Answer: the IQR is 3.5
Step-by-step explanation:
Answer:
A,D,E, and F
Step-by-step explanation:
Answer:
b
Step-by-step explanation:
if you imply all the other ones, all the x's cancel out.
