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Vera_Pavlovna [14]
3 years ago
6

What is the square root of 180x^9 y^16 in simplest form

Mathematics
2 answers:
Papessa [141]3 years ago
8 0


Apply radical rule :





Break the number to its primes :



Apply radical rule :





Apply radical rule :







Apply radical rule :







Refine:





Apply radical rule :





s344n2d4d5 [400]3 years ago
7 0

Answer:

what is the square root of 180x^9 y^16 in simplest form

Step-by-step explanation:

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84.48 divided by .88
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96

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2y=-4x+10
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The difference between the observed value of the dependent variable and the value predicted using the estimated regression equat
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Answer:

For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:

(x_1, y_1) ,....,(x_n,y_n)

For this case we assume that we want to find a linear regression model given by:

\hat y = \hat m x +\hat b

Where:

\hat m represent the estimated slope for the model

\hat b represent the estimated intercept for the model

And for any estimation of the dependent variable \hat y_i , i=1,...,n is given by this model.

The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:

e_i = y_i -\hat y_i , i=1,...,n

So the best option for this case is:

d. residual

Step-by-step explanation:

For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:

(x_1, y_1) ,....,(x_n,y_n)

For this case we assume that we want to find a linear regression model given by:

\hat y = \hat m x +\hat b

Where:

\hat m represent the estimated slope for the model

\hat b represent the estimated intercept for the model

And for any estimation of the dependent variable \hat y_i , i=1,...,n is given by this model.

The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:

e_i = y_i -\hat y_i , i=1,...,n

So the best option for this case is:

d. residual

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3 years ago
Ajay is 5 cm taller than Aiden. If h represents Ajay's height, then Aiden's height is
ohaa [14]
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A matatu carries 14 passengers per trip. In
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Answer:

"23,520"

Step-by-step explanation:

one trip: 14 passengers

one day: 3 trips

passengers: 80

80x14= 1,120

1,120x3= 3,360

3,360x7= 23,520

6 0
3 years ago
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