<h3>Answer:</h3>
17. 2x^4 + x^3 + x^2 + 4x + 3 + 8/(x -1)
18. x = 2, x = -2
19. The slant asymptote is y = x + 14
<h3>Explanation:</h3>
17. See the first attachment for the synthetic division. The summary statement is the expression represented by the result.
18. The denominator is the difference of two squares, so is readily factored to ...
... (x -2)(x +2)
The zeros of this product are the locations of the vertical asymptotes of f(x). They are ...
... x = 2, x = -2.
19. Dividing the numerator by the denominator (using synthetic division, if you like) gives the result ...
... f(x) = x + 14 + 104/(x -8)
The linear expression y=x+14 defines the end behavior when x gets large. That is, it is the slant asymptote of the function. See the second attachment for a graph.
(There will be a horizontal asymptote only when the degrees of numerator and denominator are the same. In this case, they are not.)
Answer:
0.6 inches or 6/10 also simplified to 3/5
Step-by-step explanation:
kiss
You see how when you count inches on a certain ruler like this, That it counts by 0.1 inches. Use your finger and count by 0.1 inches from the start to end of the jellybean
Answer:
28%
Step-by-step explanation:
i took the review and i got that one right pls make brainiest
Answer: They are diffrent
Step-by-step explanation: The logistic equation was first published by Pierre Verhulst in 1845. This differential equation can be coupled with the initial condition P(0) = P0 to form an initial-value problem for P(t). Suppose that the initial population is small relative to the carrying capacity. Then P K is small, possibly close to zero.
The logistic regression coefficients are the coefficients b 0, b 1, b 2,... b k of the regression equation: An independent variable with a regression coefficient not significantly different from 0 (P>0.05) can be removed from the regression model (press function key F7 to repeat the logistic regression procedure).
By the way, this is copied from the internet.
The most appropriate comparison of the spreads will be A) The median for the Wolverines 80 is more than the median for the Panthers 70
