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In the Simple Linear Regression Model Yi=β0+β1Xi+uiY _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i }

Question 46

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In the simple linear regression model Yi=β0+β1Xi+uiY _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i }


A) the intercept is typically small and unimportant.
B) β0+β1Xi\beta _ { 0 } + \beta _ { 1 } X _ { i } represents the population regression function.
C) the absolute value of the slope is typically between 0 and 1 .
D) β0+β1Xi\beta _ { 0 } + \beta _ { 1 } X _ { i } represents the sample regression function.

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