Simple Linear Regression Differs from Multiple Linear Regression in That

Multiple Choice

Simple linear regression differs from multiple linear regression in that

A) multiple linear regression uses all available data to estimate the cost function whereas simple linear regression only uses simple data.
B) simple linear regression is limited to the use of only the outcome variables and multiple linear regression can use both outcome and predictor variables.
C) simple linear regression uses only one predictor variable and multiple linear regression uses more than one predictor variable.
D) simple linear regression uses only one outcome variable and multiple linear regression uses more than one outcome variable.
E) the lease squares technique cannot be used for simple linear regression whereas it can be used for multiple linear regression.