The least-squares regression line is. A. the line that passes through the most data points. B. the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible. C. the line such that half of the data points fall above the line and half fall below the line. D. All of the above

Step-by-step explanation:

Given that " The least-squares regression line "

The least-squares regression line is the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible.

Therefore option B) is correct

idk

step-by-step explanation:

idk

12

step-by-step explanation:

a triangle's   full angle is 180 degrees so 180 - 156 = 24. 24/2=12