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sashaice [31]
3 years ago
8

PLEASE HELP THANK YOUUUUU

Mathematics
1 answer:
katrin [286]3 years ago
8 0

Answer:

can you pop out all the boxes I need to see what the numbers are to get a further understanding

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For questions 7 - 12, solve the problem, expressing your answer using the correct number of
navik [9.2K]

Answer:

93.1

24.83

24.13

2755

12.75

0.151

Step-by-step explanation:

Given :

21.1 + 45.99 + 26.0 = 93.09

15.55 + 21.61 - 12.333 = 24.827

14 + 0.8 + 9.33 = 24.13

14.5 * 190 = 2755

5.1 * 2.5 = 12.75

0.15 ÷ 0.991 = 0.151

6 0
3 years ago
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
An ellipse has vertices at (0, #17) and foci at (0, ±15). Write the equation of the ellipse in standard form. Graph the ellipse.
Lunna [17]

<u>ANSWER</u>

\frac{ {x}^{2} }{ 64 }  +  \frac{ {y}^{2} }{ 289 }  = 1

See attachment for the graph

<u>EXPLANATION</u>

The standard equation of the vertical ellipse with center at the origin is given by

\frac{ {x}^{2} }{ {b}^{2} }  +  \frac{ {y}^{2} }{ {a}^{2} }  = 1

where

{a}^{2}  \:  >  \:  {b}^{2}

The ellipse has its vertices at (0,±17).

This implies that:a=±17 or a²=289

The foci are located at (0,±15).

This implies that:c=±15 or c²=225

We use the following relation to find the value of b²

{a}^{2}  -  {b}^{2}  =  {c}^{2}

\implies \: 289  -  {b}^{2}  =  225

-  {b}^{2}  =  225 - 289

-  {b}^{2}  =  - 64

{b}^{2}  = 64

We substitute into the formula for the standard equation to get:

\frac{ {x}^{2} }{ 64 }  +  \frac{ {y}^{2} }{ 289 }  = 1

4 0
3 years ago
Find the value of X
kap26 [50]

Answer:

x = 27

Step-by-step explanation:

We can say that sum of all interior angles adds up to: 180°, therefore;

(3x - 17) + (2x - 5) + (x + 40) = 180°

=> now add like terms together:

=> 3x + 2x + x = 6x

=> -17 + (-5) + 40 = 18

Therefore;

6x + 18 = 180°

6x = 180 - 18

6x = 162

x = 162/6

<u>x = 27</u>

Hope this helps!

7 0
3 years ago
Find the distance between the points of (-5,-10) and (2,4)
taurus [48]
The distance between -5 and -10 is 5. the distance between 2 and 4 is 2
8 0
4 years ago
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