I think the correct answer would be B. If the residuals for brand A form an increasing curve, and the residuals for brand B form a U-shaped pattern, then neither of the data is likely to be linear. In order to be linear, the residuals of both data set should be, more or less, linear or approaching linearity in nature. Therefore, the linear regression that was done would not give good results since it is only applicable to linear data sets. Also, you can say that the relation of the data sets of the products are not linear. It would be best to do a curve fitting for both sets by using different functions like parabolic functions.
Answer:
f(3) = 26
Step-by-step explanation:
Average rate of change of a function on an interval is;
f(a) - f(b)/(a-b)
Here, we want to find the value of f(-3)
To find the average rate of change on the given interval;
we have;
f(3) - f(-2)/3-(-2) = 17/5
f(3)-9/5 = 17/5
Since denominator is same, we equate numerator;
f(3)-9 = 17
f(3) = 17 + 9
f(3) = 26
Answer:
x=±
Step-by-step explanation:
Answer:
see explanation
Step-by-step explanation:
If f(x) and g(x) are the inverses of each other, then
f(g(x)) = g(f(x)) = x
f(g(x)) = f(x - 
) = x - + = x
g(f(x)) = g(x + ) = x + - = x
Hence f(x) and g(x) are the inverse of each other
The answers are blurry and hard to read. If you repost this question with a clearer picture, I would be happy to try and answer as best I can! :)
