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ki77a [65]
3 years ago
6

For number 81 and 84 it asks me to Complete the square to form a perfect-square trinomial. Could someone explain how I find the

answers to these two questions?

Mathematics
2 answers:
marin [14]3 years ago
7 0
To complete the square, you want to add a number that will allow the number to be factored into terms of the form (x + ?)^2

For x^2 + x + ?:
For (x + ?)(x + ?), we want both ? to add up the 1 (the number in front of x), and since both ? have to be the same number, ? must equal 1/2 (1/2 + 1/2 = 1).
Multiplying this out:
(x + 1/2)^2
(x + 1/2)<span>(x + 1/2)
</span>x^2 + x + 1/4

Answer: x^2 + x + 1/4


For x^2 + 6x + ?:
For (x + ?)(x + ?)<span>, we want both ? to add up the 6 (the number in front of x), and since both ? have to be the same number, ? must equal 3 (3 + 3 = 6). </span>
Multiplying this out:
(x + 3)^2
(x + 3)<span>(x + 3)
</span>x^2 + 6x + 9

Answer: <span>x^2 + 6x + 9</span>

nevsk [136]3 years ago
3 0
Completeing the square in form ax^2+b+c=0 1st move c to other side or ignore it if not present 2nd. make sure a=1, if not, divide both sides by a 3rd divide b by 2 and squaer that ((b/2)^2) and add that to both sides factor perfect square 81. ignore c a=1 so good b=1 so 1/2, then squaer that which is 1/4 that is the blank space 1/4 84. ignore c since not present a is equal to 1 b=6 so 1/2 of that is 3, 3^2=9 9 is the blank 81. blank is 1/4 84. blank is 9
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Lemur [1.5K]

Step-by-step explanation:

Regression analysis is used to infer about the relationship between two or more variables.

The line of best fit is a straight line representing the regression equation on a scatter plot. The may pass through either some point or all points or none of the points.

<u>Method 1:</u>

Using regression analysis the line of best fit is: y=\alpha +\beta x+e

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\alpha =\bar y-\beta \bar x

Here<em> </em>\bar y and \bar x are mean of the <em>y</em> and <em>x</em> values respectively.

\bar y=\frac{\sum y_{i}}{n} \\\bar x=\frac{\sum x_{i}}{n}

The formula to compute the slope is:

\beta =\frac{\sum (x-\bar x)(y - \bar y)}{\sum (x=\bar x)^{2}}

And the formula to compute the error is:

e=y-\alpha -\beta x

<u>Method 2:</u>

The regression line can be determined using the descriptive statistics mean, standard deviation and correlation.

The equation of the line of best fit is:

(y-\bar y)=r\frac{\sigma_{x}}{\sigma_{y}} (x-\bar x)

Here <em>r</em> = correlation coefficient = r=\frac{Cov (x,y)}{\sqrt{\sigma^{2}_{x}\sigma^{2}_{y}} }

\sigma_{x} and \sigma_{y} are standard deviation of <em>x</em> and <em>y</em> respectively.

\sigma_{x}=\frac{1}{n}\sum (x-\bar x)^{2} \\\sigma_{y}=\frac{1}{n}\sum (y-\bar y)^{2}

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3 years ago
What is the first integer to the right of 0 on the number line
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Answer:

1

Step-by-step explanation:

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Cheers.

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3 years ago
Use exterior angles to solve for interior angles.
Dmitry [639]

Answer:

I could be mistaken but I believe that x= 42.5

Step-by-step explanation:

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8 0
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In an experiment, Mary will flip a coin 9 times. Will the relative frequency of her coin landing on heads be
vlabodo [156]

Answer:

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3 years ago
(Ross 5.15) If X is a normal random variable with parameters µ " 10 and σ 2 " 36, compute (a) PpX ą 5q (b) Pp4 ă X ă 16q (c) PpX
pochemuha

Answer:

(a) 0.7967

(b) 0.6826

(c) 0.3707

(d) 0.9525

(e) 0.1587

Step-by-step explanation:

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(a)

Compute the value of P (X > 5) as follows:

P(X>5)=P(\frac{x-\mu}{\sigma}>\frac{5-10}{\sqrt{36}})\\=P(Z>-0.833)\\=P(Z

Thus, the value of P (X > 5) is 0.7967.

(b)

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P(4

Thus, the value of P (4 < X < 16) is 0.6826.

(c)

Compute the value of P (X < 8) as follows:

P(X

Thus, the value of P (X < 8) is 0.3707.

(d)

Compute the value of P (X < 20) as follows:

P(X

Thus, the value of P (X < 20) is 0.9525.

(e)

Compute the value of P (X > 16) as follows:

P(X>16)=P(\frac{x-\mu}{\sigma}>\frac{16-10}{\sqrt{36}})\\=P(Z>1)\\=1-P(Z

Thus, the value of P (X > 16) is 0.1587.

**Use a <em>z</em>-table for the probabilities.

8 0
3 years ago
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