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lutik1710 [3]
3 years ago
6

I REALLY NEED HELP!!! 5^-3=

Mathematics
2 answers:
Readme [11.4K]3 years ago
7 0

Answer:

\frac{1}{125}

Step-by-step explanation:

whenever you see a negative exponenet, you should always write the reciprocal of it

5^{-3} becomes  \frac{1}{5^{3} }

solve the denominator

5^{3} = 125

therefore, your answer is \frac{1}{125}

hope this helps!! :)

stiv31 [10]3 years ago
3 0
1/125 or 0.008
fraction or decimal
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Write an equation of the line that passes through the points.<br><br> (0,1),(−2,−5)
Arada [10]

Answer:

y=4/-2

Step-by-step explanation:

I think that is the answer

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2 years ago
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What is (3i-2/3)-(6i-5) in standard form
k0ka [10]

Answer:

13/3 -3i

Step-by-step explanation:

(3i-2/3)-(6i-5)

Distribute the minus sign

(3i-2/3)-6i+5

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-2/3 +5  +3i - 6i

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5 0
3 years ago
The point (2, 3) is on the line given by which equation below?
love history [14]
Plug in the points and see if y and x are equal to each other.

(2,3)
y= x-1
3= 2-1 
3= 1 (not the solution)

y=3x
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3=3 (solution) We can check to make sure.

y=-3x
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3=-9 (not the solution)

y=x+1 <em>is the answer.
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I hope this helps!
~kaikers


5 0
3 years ago
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Selena's favorite basketball player is 6 feet 8 inches tall how tall is Selena's favorite basketball player
pav-90 [236]

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Step-by-step explanation:

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3 years ago
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. The estimate regression equation for a model involving two independent variables and 10 observations follows.y = 29.1270 + 0.5
beks73 [17]

Answer:

b) y = 289.815 when x_1 = 180 \text{ and } x_2 = 310

Step-by-step explanation:

We are given the following information in the question:

y = 29.1270 + 0.5906x_1 + 0.4980x_2

where y is the dependent variable,

x_1, x_2 are the independent variable.

The multiple regression equation is of the form:

y = b_0 + b_1x_1 + b_2x_2

where,

b_0: is the intercept of the equation and is the value of dependent variable when all the independent variable are zero.

b_1: It is the slope coefficient of the independent variable x_1.

b_2: It is the slope coefficient of the independent variable x_2.

  • The regression coefficient in multiple regression is the slope of the linear relationship between the dependent and the part of a predictor variable that is independent of all other predictor variables.

Comparing the equations, we get:

b_1 = 0.5906\\b_2 = 0.4980

  • This means holding x_2 constant, a change of one in x_1 is associated with a change of 0.5906 in the dependent variable.
  • This means holding x_1 constant, a change of 1 in x_2 is associated with a change of 0.4980 in the dependent variable.

b) We have to estimate the value of y

y = 29.1270 + 0.5906(180) + 0.4980(310) = 289.815

3 0
3 years ago
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