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:
a b c
Step-by-step explanation:
Answer:
40,680
Step-by-step explanation:
plz give me brainliest
remember your units
hope this help
Answer:
and 
Step-by-step explanation:
Given
Required
Find x and y
In the second equation. Assume that:
Substitute 
in the first equation
Collect like terms
Multiply through by 5
Solve for x
Substitute this value of x in 
Answer:about a third of the residents prefer a park improvement of more trees
Step-by-step explanation:only 27 out of 75 would make it a third
