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.
Answer:
0.60
Step-by-step explanation:
Probability that the customer is not a poor risk = 1 - probability that the customer is a poor risk
Firstly, let’s calculate the probability of being a poor risk.
From the given data the number of poor risks = 14229-7362-1190 = 5677
So the probability of being a poor risk = 5677/14229 = 0.399
Thus, the probability that the customer is not a poor risk = 1-0.399 = 0.601 which to 2 decimal places = 0.60
Answer:
D) 2p+14/p
Step-by-step explanation:
-33/8 or -4 1/8
Hope this helps!
I say the answer is A, correct me if I'm wrong.
