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:
<h3>
34, 35</h3>
Step-by-step explanation:
z - some integer
then the consecutive integer would be:
z+1, (or z-1)
the sum is 69 so:
z + z+1 = 96
2z = 68
z = 34
z+1 = 34 + 1 = 35
(or:
z + z-1 = 69
2z = 70
z = 35
z-1 = 35 - 1 = 34)
Answer:
n = 2b + 4
Step-by-step explanation:
4 years older = +4
2 times his brother = 2b
n= 2b+4
Answer:
114
Step-by-step explanation:
Answer:
I think it may be D
Step-by-step explanation:
A coefficient is the number being multiplied by the variable. A variable is a letter that holds an number like w x 7=? W=6. And a constant is the number by itself. In this expression 5000 is the constant 20 is the coefficient and teh variable is w so I think it is D
