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Wittaler [7]
2 years ago
6

Solve the following inequality algebraically: look at the picture

Mathematics
1 answer:
seraphim [82]2 years ago
8 0
The answer is b -9 < x < 12
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Write a number sentence to show the sum of fourteen and eight is twenty two
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14 + 8 = 22

Hope this helps!
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3 years ago
What is the slope - intercept form of the linear equation 2X+3y=6?
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The answers is Y=2X-2
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Lia has $24. Lia and her brother together have a total of $45. The solution of the equation 24 + x = 45 is the amount of money,
Julli [10]

Answer:

21$

Step-by-step explanation:

24+x=45

-24      -24

x=21$

6 0
3 years ago
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The function \[N(t)=\frac{ 300 }{ 1+299e ^{-0.36t} }\] describes the spread of a rumor among a group of people in an enclosed sp
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<span>There are 300 people in the enclosed space.

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<span>Initially, one person had heard the rumor.</span>
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2 years ago
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suppose you performed a regression analysis. you were given four observations of the target at [1.0, 1.5, 2.8, 3.7], and you pre
Arlecino [84]

Suppose you performed a regression analysis. The mse for this scenario is 0.105

Regression is a statistical method used in finance, making an investment, and different disciplines that attempt to determine the electricity and man or woman of the relationship between one established variable (commonly denoted through Y) and a sequence of different variables (called independent variables).

We are able to say that age and peak can be described through the usage of a linear regression version. because someone's peak will increase as age will increase, they have got a linear courting. Regression fashions are commonly used as statistical proof of claims regarding regular statistics.

"Regression" comes from "regress" which in turn comes from Latin "regresses" - to head returned (to something). In that feel, regression is the approach that permits "to head again" from messy, hard-to-interpret data, to a clearer and more significant version.

y ypred (y-ypred)^2

1 1.1 0.01

1.5 1.3 0.04

2.8 3.2 0.16

3.7 3.7 0

The error sum of the square is given by

ESS = (y- )

ESS=0.21

The mean square error is given by

ESS MSE = ESS/dfe

MSE = \frac{0.21}{2}

MSE = 0.105

Learn more about regression here brainly.com/question/26755306

#SPJ4

6 0
1 year ago
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