The least squares regression equation for the data in the table is ỹ = 13.5x + 56.4. The 2-value is 0.977.
х
у
0
63
2.
80
4
4
105
6
132
00
172
Why might you use a linearized model instead?
A. The y-values are increasing.
B. There is a pattern in the residual plot for the linearized data.
C. This is the best model. You don't need to linearize the data.
D. The 2-value of the linearized model is greater than 0.977.
pls help!

236 cm 16 time 12 = 192

6 times 7 = 42

192+42

answer: integers are just whole numbers: positive, negative, and zero.

i = {-∞, -2, -1, 0, 1, 2, 3, ∞}

let x = 1st integer

let y = 2nd integer

x = 3y + 17   {equation 1}

xy = -24         {equation 2}

substitute 3y+17 in place of x n equation 2

and solve for y.

(3y+17)y = -24

3y2 + 17y = -24

3y2 + 17y + 24 = 0

from quadratic equation:

y = [-17±√(172-4(3)(24))]/(2(3))

y = (-17 ±√1)/6

y = (-17+1)/6   or     y = (-17-1)/6

y = -16/6           or     y = -18/6

y = -2 2/3         or   y = -3

since we are dealing with

y = -3

x = 3y+17 = -9+17 = 8

the integers are -3, 8

step-by-step explanation: