Question

Which three quantities are needed in order to calculate the value of the Y-intercept for the linear

regression prediction equation?
The slope, the mean of X, and the total number of observations in the data
The slope, the mean of Y, and the total number of observations in the data
The mean of X, the mean of Y, and the total number of observations in the data
The mean of X, the mean of Y, and the slope​

Answer 1

9514 1404 393

Answer:

(d) The mean of X, the mean of Y, and the slope

Explanation:

A point on the linear regression curve is (mean(x), mean(y)). With that point and the slope, the equation of the line can be found. That equation will reveal the y-intercept.

y-intercept = mean(y) -slope·mean(x)