The data shown has a least-squares regression line of y=3.2x−6.4.

Use the drop-down menus to complete the statements and identify the residual of the data point (8,19.2).

Point (8,19.2) is ___ the least-squares regression line.

A. on

B. below

C. above

The value of the least-squares regression line at x=8 is ___.

A. -6.4

B. 0

C. 12

D. 19.2

E. 25.6

So, the residual of the data point (8,19.2) is .

A. -19.2

B. -12

C. 0

D. 12

E. 19.2

1) B. on, 2) D. 19.2, 3) C. 0

Step-by-step explanation:

1) The value of y according to the regression line is:

Hence, the point (8,19.2) is on the least-squares regression line.

2) The value of y according to the regression line is 19.2.

3) The residual is the difference between the value from the regression line and the real value. In this case, the residual value is 0.

part 1 answer = 8

part 2 answer = 72

step-by-step explanation:

part 1 explanation = add all of the numbers, then divide by how many numbers you have. so, 200/25 = 8.

part 2 explanation = not gonna lie, this is hard to explain, so just google how to do it.

the sum of the lengths of any two sides of a triangle is greater than the length of the third side. if you take the three sides of a triangle and add them in pairs, the sum is greater than (not equal to) the third side. if that is not true, then it is not possible to construct a triangle with the given side lengths.

step-by-step explanation: