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pav-90 [236]
3 years ago
7

Please help, I have no idea how to do this

Mathematics
1 answer:
borishaifa [10]3 years ago
3 0

Answer:

cube is 100cm + area of pyramid

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The line plot shows the number of points scored by Josh in his basketball games. How many games did Josh score more than six poi
andre [41]

Answer:

3 games.

Step-by-step explanation:

8 0
3 years ago
How can you use formulas you already know to find the area and perimeter of a composite figure? The six lane track shown in the
evablogger [386]

The area of the composite figure = 10,874.1 sq. m.

The perimeter of the composite figure = 406.9 m

<h3>What is the Area and Perimeter of a Rectangle and Circle?</h3>

Perimeter of a rectangle = 2(length + width)

Area of a rectangle = length × width

Perimeter of a circle = 2πr

Area of a circle = πr²

<h3>What is Area of the composite figure?</h3>

The figure is made up of two semicircles (1 full circle) and a rectangle.

Area of the composite figure = area of circle + area of rectangle

= πr² + length × width

r = 36.5 + 1.2 = 37.7 m

length = 85.0 m

width = 2(36.5) + 2(1.2) = 75.4 m

Substitute

Area of the composite figure = π(37.7)² + 85.0 × 75.4 = 10,874.1 sq. m.

<h3>What is Perimeter of the Composite Figure?</h3>

Perimeter of the composite figure = perimeter of circle + 2(length of the rectangle)

= 2πr + 2(L)

Plug in the values

= 2π(37.7) + 2(85.0)

Perimeter of the composite figure = 406.9 m

Learn more about composite figures on:

brainly.com/question/391747

6 0
2 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
In kyles class the number of boys b is 3 more than the number of girls g.
Semmy [17]

Answer:

g+3=b

Step-by-step explanation:

You cant fully solve without more information

4 0
4 years ago
Help what is the temperature
mote1985 [20]
The answer is 25 degrees Celsius

7 0
3 years ago
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