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:
YES
Step-by-step explanation:
$157+$210+$377+$145=$889
$695+$95=$790
Leftover
$889-$790 =$99
he would have $99 leftover
Answer:
x = 3.67
Step-by-step explanation:
Simplify both expressions
14x - 18 = 5x + 15
Subtract the bigger (n)x by the smaller
14x - 5x = 9x
Plus the smallest by itself, giving you:
9x - 18 = 15
+18 +18
9x = 33
Simplify ( divided by 3 )
3x = 11
x = 3.67
Answer:
That would be the side-side-side (SSS) postulate, which states that if all the sides of a triangle are in a fixed ratio to all the corresponding sides of another triangle, then the two triangles are said to be congruent.
Step-by-step explanation:
Looking at triangles ABC and DEF, we notice that:
since
Let me know if you have further questions.
The elevations of four points below sea level are -47 feet, -24 feet, -8 feet, and -18 feet.
The elevation of the point closest to sea level is feet
-8 ft
elevation of the point farthest from sea level is feet.
-47 ft
closet to sea level to farthest to sea level
-8ft , -18ft , -24ft , -47ft
