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.

Question 1. If m∠5 = 115 degrees, find m∠1 = 115°
because they form corresponding Angle pair
Question 2. If m∠7 = 30 degrees, find m∠2 = 30°
because they form Alternate Exterior angle pair
Question 3. If m∠6 = 50 degrees, find m∠4 = 50°
because they form Alternate Interior Angle pair
Question 4. If m∠4 = 72 degrees, find m∠1 = 108°
because they form linear pair, their sum = 180°
Answer:
D.
Step-by-step explanation:
If she connects it to any other point the angle would be more then 30 degrees.
Answer:

Step-by-step explanation:
1.
2 yellow marables of 10 all marables

2.
1 yellow marable of 9 all marables


Answer:
15%
Step-by-step explanation:
If 10% of the 25% of 8th graders who were male, 15% would be females because 25-10= 15. So, 15% would be my answer.