Answer:
1. what is a residual?
A. A residual is a value of y -y, which is the difference between an observed value of y and a predicted value of y.
2. The regression line has the property that the_sum of squares_of the residuals is the minimum possible sum.
Step-by-step explanation:
1. What is a residual?
A. A residual is a value of y -y, which is the difference between an observed value of y and a predicted value of y.
2. In what sense is the regression line the straight line that "best" fits the points in a scatterplot?
The regression line has the property that the_sum of squares_of the residuals is the minimum possible sum.
If all the dogs weighed the same, 44 would be the mean. The weight would be 44*5=220.
Hope this helped☺☺
F(x)=x+4
f(x)=-y+4
f(x)=-x-4
f(x)=y-4
Answer:
I got 235, which works in perfectly into the problem...
Step-by-step explanation:
