Which statement is true about correlation: the correlation between two variables depends on their covariance and on the variance of each of the variables. the pearson correlation coefficient is based on the ranks of the data points, like the wilcoxon test. a correlation of -1 means that there is no linear relationship between the two variables. the spearman correlation coefficient requires x and y to be normally distributed.

for the first question it would be the second answer for the second question it would be the third answer and for the third question it would be the first answer

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

maybe showing the graph would

step-by-step explanation:

-387129 iq

im here

step-by-step explanation: