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:
i think the answer is, A...
Answer:
Sara bought 5 6 penny nails and 3 10 penny nails
Step-by-step explanation:
Answer:
t = 24
Step-by-step explanation:
Given that t varies inversely with a then the equation relating them is
t =
← k is the constant of variation
To find k use the condition t = 2 when a = 36, that is
2 =
( multiply both sides by 36 )
72 = k
t =
← equation of variation
Given a = 3, then
t =
= 24
Answer:
2x-4
Step-by-step explanation:
Hope it helps