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zhenek [66]
3 years ago
12

What is surface area of this wedge (pic atrached)​

Mathematics
1 answer:
Gnoma [55]3 years ago
4 0

Answer:

360 ft

Step-by-step explanation:

6 x 5 x 4 x 3 = 360

b. 360 ft

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xenn [34]

Answer:

Step-by-step explanation:

The third pig is only 2/3 of the way done with his strawberry house, the fourth pig builds a house out of sticks he’s only 2/3 of the way there, the last pig builds a house out of bricks he’s only 2/3 of the way there.

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2 years ago
QUESTION 1: What are the values of cos α and tan α, if α is an acute angle in a right triangle: sin α = 40/41 -------- cos α = ?
zhuklara [117]

Answer:

Question 1:

cos a = 0.2195

tan a = 4.445

Question 2:

sin a = 0.8

tan a = 1.333

Step-by-step explanation:

<h3 /><h3>Question 1:</h3>

Given that;

sin a = 40/41

a = sin ⁻¹ (40/41)

a = 77.32°

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a = 77.32°

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tan 77.32° = 4.445

<h3>Question 2:</h3>

Given that;

cos a = 0.6

a = cos ⁻¹ (0.6)

a = 53.13°

Now we have to find the value of cos a and tan a:

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4 0
3 years ago
What is 63,020,000 in scientific notation?
Marina86 [1]

Answer:

the answer is 10 times 10 to the 7th power

Step-by-step explanation:


4 0
3 years ago
Read 2 more answers
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:

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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:

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So the best option for this case is:

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3 years ago
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Tasya [4]

Answer:

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Step-by-step explanation:

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