15. The following statement about correlation coefficient is true: I. The correlation coefficient and the slope of the regression line may have opposite signs. II. A correlation of 1 indicates a perfect cause-and-effect relationship between the variables. III. Correlations of +.87 and −.87 indicate the same degree of clustering around the regression line. (A) I only (B) II only (C) III only (D) I and II (E) I, II, and III

28

step-by-step explanation:

8+8+6+6

step-by-step explanation:

y = | -2(-2) |     →     y = | 4 |     →     y = 4       ⇒   (-2, 4)

y = | -2(-1) |     →     y = | 2 |     →       y =   2       ⇒   (-1, 2)    

y = | -2(0) |     →     y = | 0 |     →       y = 0         ⇒   (0, 0)

y = | -2(1) |   c →     y = | -2 |     →     y =   2         ⇒   (1, 2)    

y = | -2(2) |     →     y = | - 4 |     →     y =   4         ⇒   (2, 4)  

27 + 13x + 15 = (x + 5)( =

step-by-step explanation:

27 + 13x + 15 = (x + 5)( = 27 + 13x + 15 = (x + 5)( = 27 + 13x + 15 = (x + 5)( =

12r - 8 - 12

you have to combine like terms. below i have bolded the like terms:

12r - 8 - 12

together it combines to:

12r - 20

hope this !