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:
x² + y² = 4
Step-by-step explanation:
The equation of a circle centred at the origin is
x² + y² = r² ← r is the radius]Here r = 2, thus
x² + y² = 4
Answer:
= 24.5
Step-by-step explanation:
1 child ticket = 18.50 and they bought 3 so 18.50 x 3 = 55.5
55.5 + 2 adult tickets = 104.50
104.50 - 55.5 = 2 adult tickets
= 49 for 2 adult tickets
49/2 = 1 adult tickets
= 24.5
It would be 9.54x10^6 because the nine is 6 spaces away from the decimal point if you get what i mean.
Answer:B 29.16
10% off of 30 is 3.
Subtract 3
27+8%=29.16
29.16 is the answer
hope this helped!