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Phantasy [73]
3 years ago
15

What is A decreased by 20% and then increased by 20% of that? Please show your work.

Mathematics
1 answer:
umka21 [38]3 years ago
8 0

Answer: \\ A - 20\%A = A - 0.2A = 0.8A \\ 0.8A + 20\%0.8A = 0.8A + 0.2 \times 0.8A = 0.8 + 0.16A = 0.96A

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Someone please help!! i will<br> make you a brainliest...i don’t want to fail:(((
Serggg [28]

Answer:

the fisrt one is y=1/2x

the second one is y=x+11

the third one is y= x^3

fourth on is y= ^3 checkmark x

Step-by-step explanation: your welcome

8 0
2 years ago
Candy and Tim share a paper route. It takes Candy 85 min to deliver all the papers, and it takes Tim 65 min. How long does it ta
RSB [31]

Answer:

The time required to finish the work by both candy and Tim working together = 36.83 minute

Step-by-step explanation:

Time taken by the candy to finish the work T_{1}= 85 min

Time taken by the Tim to finish the work T_{2}  = 65 min

Thus the time taken by both to finish the work = \frac{T_1 \times\ T_2}{T_1 + T_2}

Put the values of T_{1} and T_{2}  we get ,

                    T_{} = \frac{85 \times\ 65}{85 + 65}

                    T_{} = \frac{221}{6}

                    T_{} = 36.83 minute

Thus the time required to finish the work by both candy and Tim working together = 36.83 minute

3 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
I am 3/2 as old as Paul. Ten years later, I will be 5/4 of Paul's age then. How old am I now? How old is Paul now?
Maslowich

Answer:

to be fair, i really dont know this

Step-by-step explanation:

3 0
2 years ago
Read 2 more answers
I am confused please help
Otrada [13]

Answer:

3 tiles will not fit together.

Step-by-step explanation:

Measure of an Interior angle of a polygon = \frac{(n-2)\times 180}{n}

Here, n = number of sides of the polygon

Therefore, measure of the interior angles of a regular hexagon,

A = \frac{(6-2)\times 180}{6}

A = 120°

Similarly, interior angle of the regular pentagon,

B = \frac{(5-2)\times 180}{5}

B = 108°

Now m∠A + m∠B + m∠C = 360°

m∠C = 360° - (120° + 108°)

        = 132°

To fit the given three tiles perfectly, interior angle (∠D) of the third Octagonal tile should be 132°.

D = \frac{(8-2)\times 180}{8}

D = 135°

m∠C ≠ m∠D

Therefore, 3 tiles will not fit together.

8 0
2 years ago
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