The Principle of Least Squares Results in Values Of $\hat { \beta } _ { 0 } \text { and } \hat { \beta } _ { 1 }$

Multiple Choice

The principle of least squares results in values of $\hat { \beta } _ { 0 } \text { and } \hat { \beta } _ { 1 }$ that minimizes the sum of squared deviations between

A) the observed values of the explanatory variable x and the estimated values $\hat { x }$
B) the observed values of the response variable y and the estimated values $\hat { y }$
C) the observed values of the explanatory variable x and the response variable y
D) the observed values of the explanatory variable x and the response values $\hat { y }$
E) the estimated values of the explanatory variable x and the observed values of the response variable y