Answer:
Differences between the actual Y values and the predicted Y values.
Step-by-step explanation:
The residuals represent the Differences between the actual Y values and the predicted Y values.
Residual is the difference between the measured value and the predicted value of a regression model. It is important to understand residuals because they show how accurate a mathematical function, such as a line, is in representing a set of data.
Answer:
0.20
Step-by-step explanation:
That's the answer but I don't know how to explain how i got it
Answer: A, the power it produces is economical
Let the require value be x, then
P(z > x) = 0.025
1 - P(z < x) = 0.025
P(z < x) = 1 - 0.025 = 0.975
P(z < x) = P(z < 1.96)
x = 1.96
Therefore, <span>the positive critical value that corresponds to a right tail area of 0.025</span> is 1.96
