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

answer: i'm not going to give you the answer, but some hints to work it out.

step-by-step explanation: so, if there is a straight line that means that the line angle is 180°. so we subtract the 2 angle measures provided, (15 and 38) from 180. so the answer is 180 - (38 + 15). (you have to solve the equation)