The residuals for data set x and data set y were calculated and plotted on separate residual plots. if the residuals for data set x do not form a pattern and the residuals for data set y form a pattern, what can be concluded?

a. data set x is not linear, and data set y is not linear.
b. data set x is not linear, and data set y is linear.
c. data set x is linear, and data set y is linear.
d. data set x is linear, and data set y is not linear.

B. Data set X is not linear, and data set Y is linear.

Step-by-step explanation:

We assume here that "form a pattern" means "roughly forms a line"... because a pattern doesn't necessarily equal a line, it would be a curve that would easily be interpreted too, but it wouldn't be linear.

Since you cannot form a pattern, and based on your choices for answer, we have have to say that data set X is NOT linear.

On the opposite, since the data set Y produces a pattern, it has to be linear.

So, X = NOT linear, Y = linear.

answer: f true

step-by-step explanation:

(x3 + 6x2 + 2x - 6) • (x - 1)

step-by-step explanation:

polynomial long division :

3.2     polynomial long division

dividing :   x4+5x3-4x2-8x+6

                              ("dividend")

by         :     x-1     ("divisor")

dividend     x4   +   5x3   -   4x2   -   8x   +   6

- divisor   * x3     x4   -   x3            

remainder         6x3   -   4x2   -   8x   +   6

- divisor   * 6x2         6x3   -   6x2        

remainder             2x2   -   8x   +   6

- divisor   * 2x1             2x2   -   2x    

remainder               -   6x   +   6

- divisor   * -6x0               -   6x   +   6

remainder                     0

quotient :   x3+6x2+2x-6   remainder:   0