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.
0.25 in a fraction would be 1/4
Answer:
Infinitely many
Step-by-step explanation:
Because the equation is equal to 0+0
Okay, so whatever the answer is to angle A its the same answer to angle C and angle B and D. the angle looks like a obtuse which means it has to be bigger than 90 degrees. use your protractor to measure it.
