The estimated intercept
A)is the estimated marginal effect of x on y.
B)is the estimated value of y when x equals 0.
C)is equal to the population intercept.
D)is $\hat { \beta } _ { 1 }$ .

Question

Quizplus · Accepted Answer

The estimated intercept is the value of y when x equals 0, which is the point where the regression line intersects the y-axis. It is not the marginal effect or the population intercept, and it is denoted by $\hat { \beta } _ { 0 }$ (not $\hat { \beta } _ { 1 }$).

The Estimated Intercept A)is the Estimated Marginal Effect of X β^1\hat { \beta } _ { 1 }β^​1​

The Estimated Intercept
A)is the Estimated Marginal Effect of X $\hat { \beta } _ { 1 }$