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

question 34

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

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