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:
D 9m 4m because 9 divided by 2 is 3 and 4 divided by 2 is 2 and that's us you answer.
Answer:
Larger
Step-by-step explanation:
It will Be larger because a factor lower then 5 will make the dilatetion become smaller
Answer:
the numbers of apples consumed is : 110 - 80 = 30.
percentage of apple consumed is : (30 / 100) * 100=27.27%
remaining numbers of apple =100 - 27.27 = 72.72%...
