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dmitriy555 [2]
3 years ago
5

F(x) = x^2 - 3x + 18

Mathematics
2 answers:
Marat540 [252]3 years ago
3 0

Answer: discriminant of f is -63

Step-by-step explanation:

olya-2409 [2.1K]3 years ago
3 0

Answer:

-63

and there are no distinct real numbers

Step-by-step explanation:

-63

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Evaluate the function f(x) = 2x3 - 6x + 1 for f(-2).
erma4kov [3.2K]

Answer:

- 3

Step-by-step explanation:

f(x) = 2 {x}^{3}  - 6x + 1 \\ plugging \: x =  - 2 \\ f( - 2) = 2( { - 2})^{3}  - 6( - 2)+ 1  \\  = 2 \times ( - 8) + 12 + 1 \\  =  - 16 + 13 \\  =  - 3 \\ f( - 2) =  - 3

7 0
3 years ago
PLZ PLZZZZ HELP ASAP!!!!! <br> Explain the error: 144x2 - 100 (12x + 10)(12x - 10) 2(6x + 5)(6x - 5)
iogann1982 [59]

9514 1404 393

Answer:

  a factor of 2 is shown, but 4 was factored out

Step-by-step explanation:

The difference of squares is factored as ...

  a² -b² = (a +b)(a -b)

Then the given difference of squares factors as ...

  144x² -100 = (12x)² -10² = (12x +10)(12x -10)

Each of these factors has a factor of 2 that can be factored out:

  = (2(6x +5))(2(6x -5))

  = (2·2)(6x +5)(6x -5)

  = 4(6x +5)(6x -5)

The first factor should be 4, not 2.

7 0
3 years ago
I need help on this question
Margaret [11]
500(.25)=125 is the answer
8 0
3 years ago
HELPHELPHELPHELPHELPHELPHELP​
viva [34]

Answer:

the answer is 75

Step-by-step explanation:

225 ÷ 3

75

5 0
3 years ago
Read 2 more answers
Think of a problem dealing with two possibly related variables (Y and X) that you may be interested in. Share your problem and d
nata0808 [166]

Answer:

Explained below.

Step-by-step explanation:

Consider the variables height and weight.

It is usually seen that taller people are heavier than shorter people.

So a regression analysis can be used to specify this belief.

The statistical questions that are being asked here are:

  • What the independent and dependent variables?
  • Are there any other factor influencing the dependent variable other than the independent variable?

The variable <em>Y</em> is considered as the dependent variable and the variable <em>Y</em> is considered as the independent variable.  And the main purpose of the regression analysis is to predict the value of <em>Y</em> when the value of <em>X</em> is given.

The linear regression model can be used to predict the past and future value of the dependent variables provided that the independent variables for those times are provided.

5 0
3 years ago
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