Suppose you determine the estimated sample regression function to be $\hat { y } _ { i } = 1,016.82 + 473.65 \cdot x _ { i } \text {. }$ You would conclude that A)y_i is estimated to equal 473.65 when x_i = 0. B)y_i is estimated to increase by 473.65 for every one unit increase in x_i. C)y_i is estimated to decrease by 473.65 for every one unit increase in x_i. D)y_i is estimated to increase by 1,016.82 for every one unit increase in x_i.

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The Answer is B

Suppose You Determine the Estimated Sample Regression Function to Be y^i=1,016.82+473.65⋅xi. \hat { y } _ { i } = 1,016.82 + 473.65 \cdot x _ { i } \text {. }y^​i​=1,016.82+473.65⋅xi​.

Suppose You Determine the Estimated Sample Regression Function to Be $\hat { y } _ { i } = 1,016.82 + 473.65 \cdot x _ { i } \text {. }$