, this is best fit. But the best fit for this graph is variable b
You can use a calculator and put is where I’d can tell you the answer
Answer:
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 <em>on </em>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.
The answer would be -4 because when you add a positive and a negative it’s like subtracting.
False, they actually decreased some.