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sweet-ann [11.9K]
3 years ago
14

PLEASE HELP

Mathematics
1 answer:
nydimaria [60]3 years ago
6 0

Answer:

y = -2(x+2)(x-1)/((x+3)(x-6)) = (-2x^2 -2x +4)/(x^2 -3x -18)

Step-by-step explanation:

A polynomial function will have a zero at x=a if it has a factor of (x-a). For the rational function to have zeros at x=-2 and x=1, the numerator factors must include (x+2) and (x-1).

For the function to have vertical asymptotes at x=-3 and x=6, the denominator of the rational function must have zeros there. That is, the denominator must have factors (x+3) and (x-6). Then the function with the required zeros and vertical asymtotes must look like ...

f(x) = (x+2)(x-1)/((x+3)(x-6))

This function will have a horizontal asymptote at x=1 because the numerator and denominator degrees are the same. In order for the horizontal asymptote to be -2, we must multiply this function by -2.

The rational function may be ...

y = -2(x +2)(x -1)/((x +3)(x -6))

If you want the factors multiplied out, this becomes

y = (-2x^2 -2x +4)/(x^2 -3x -18)

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Read 2 more answers
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​ lemon/crash data, wh
kakasveta [241]

The regression analysis evaluates the amount of relationship that exists

between the variables in the analysis.

  • The regression equation is; \underline{\overline y = -0.00255 \cdot \overline x + 16.47268}
  • The prediction is worthwhile because it gives an idea of the observed Crash Fatality Rate and it is therefore approximately correct.

Reasons:

First part;

The given data is presented as follows;

\begin{tabular}{|cc|c|}Lemon Imports (x) &&Crash Fatality Rate\\232&&16\\268&&15.7\\361&&15.4\\472&&15.5\\535&&15\end{array}\right]

The least squares regression equation is; \overline y =  b \cdot \overline x + c

Where;

b = \mathbf{\dfrac{\sum \left(x_i - \bar x\right) \times \left(y_i - \bar y\right) }{\sum \left(x_i - \bar x\right )^2 }}

\overline y = The mean crash fatality = 15.52

\overline x = The mean lemon import = 373.6

Therefore;

b = \dfrac{-171.36 }{67093.2 } = -0.00255

c = \overline y - b·\overline x = 15.52 - (-0.00255)×373.6 = 16.47268

Therefore;

  • The regression equation is \underline{\overline y = -0.00255 \cdot \overline x + 16.47268}

Second part;

When the imports is 425 metric tons of lemon, we have;

\overline y = -0.00255 × 425 + 16.47268 = 15.38893 ≈ 15.4

Therefore;

When the import is 425 metric tons, the Crash Fatality Rate ≈ 15.4

Given that the predicted value is between the values for 268 and 535, we

have that the prediction is approximately correct or worthwhile

<u>The prediction is worthwhile</u>

Learn more about regression equation here:

brainly.com/question/5586207

8 0
2 years ago
Sorry bout that, THIS IS THE NEW ONE PLEASE ANSWER
Sergio039 [100]

Answer:

Step-by-step explanation:

Putting value of y = 5

4(5)2 - 7(5) - 6

4(25) - 35 - 6

100 - 41

59

3 0
3 years ago
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