Model summary
s r-sq r-sq(adj) r-sq(pred)
34.2385 79.91% 79.06% 76.83%
coefficients
term coef se coef t-value p-value vif
constant 1118.5 39.5 28.34 0.000
%takers -2.547 0.187 -13.62 0.000 1.05
t/s ratio -3.73 2.21 -1.69 0.098 1.05
assuming those conditions are satisfied, which of the following gives a correct interpretation of the p-value of t/s ratio?
a) at the 10% significance level, t/s ratio is a significant linear predictor.
b) at the 10% significance level, t/s is a significant linear predictor in combination with %takers.
c) at the 5% significance level, t/s ratio is not a significant linear predictor in combination with %takers.
d) both b and c.

idk but i found this "the graph of y = f(x-2) is the graph of y = f(x) translated two units rightward.  

so, since the point (9,2) lies on the graph of y = f(x), the point (11,2) lies on the graph of y = f(x-2)."

step-by-step explanation:

link is

the quotient is 4x^2 - 27x + 167 with a remainder of -996

step-by-step explanation:

in synthetic division, use -6 as the divisor and use the coefficients {4, -3, 5, 6}:

-6     )   4     -3     5     6

                -24   162 -1002

          4   -27   167   -996

thus, the quotient is 4x^2 - 27x + 167 with a remainder of -996.

note:   your "4x°-3x+5x+6" is ambiguous / incomplete.   i had to assume that you meant '4x^3 - 3x^2 + 5x + 6."

answer: entity is prob the answer

step-by-step explanation:

twenty-six miles over two gallons because the proportion for the original 13 miles to one gallon would be written 13/1 and, doing the same thing to the top and bottom, i multiplied by 2 and got 26/2