If Then the Least Squares Estimate of the Slope Coefficient $\beta _ { 1 }$

question 30

Multiple Choice

If $\sum \left( x _ { i} - \bar { x } \right) \left( y _ { i } - \bar { y } \right) = 128 \text { and } \sum \left( x _ { i } - \bar { x } \right) ^ { 2 } = 80$ then the least squares estimate of the slope coefficient $\beta _ { 1 }$ of the true regression line $y = \beta _ { 0 } + \beta _ { 1 } x$ is

• A) 11.314
• B) 8.944
• C) 1.600
• D) 0.625
• E) cannot be determined from the given information

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