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3 years ago

10

4√6+2√6-√6 ?????????????????????????

1 answer:

m_a_m_a [10]3 years ago

3 0

So you would solve this problem by adding the numbers in front of the square root.
4+2
16<span>√6
Now add that negative one.
</span><span>5√6
This is your final answer.
I hope this helps!!
Feel free to ask any questions!!</span>

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The difference between the observed value of the dependent variable and the value predicted using the estimated regression equat

Elenna [48]

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

7 0

3 years ago

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anzhelika [568]

Answer:

$log_e^{67.21}= a$

Step-by-step explanation:

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Here e is the Euler's Number . The log which are defined on the base e are called Natural logarithms.

Say if we have a expoteintial equation ,

$\implies a^m = n$

In logarithmic form it is ,

$\implies log_a^n = m$

Similarly our required answer will be ,

$\implies\boxed{ log_e^{67.21}= a }$

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3 years ago

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lys-0071 [83]

Your answer in cm would be 5,200,000.
As 1km=100,000 cm

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3 years ago

Let U={q, r, s, t, u, V, W, X, Y, Z},

trapecia [35]

Answer:

Ooh is theis unions I did it but

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2 years ago

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So 20% of $1,080 is 216.

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