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IgorLugansk [536]
3 years ago
14

Pls help, algebra 1​

Mathematics
1 answer:
AURORKA [14]3 years ago
8 0

Answer:

20, 35, 50

Step-by-step explanation:

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Please HURRY ASAP answer all and I will give you brainliest !!!
nekit [7.7K]

Answer:

1/2x equal to or greater than 17

Cindy has 34 flowers in her garden

Step-by-step explanation:

4 0
3 years ago
what is the equation of the line that passes through the point (-2,-2) and is parallel to the line 3x-y=2
VashaNatasha [74]

Answer:

y = 3x + 4

Step-by-step explanation:

Turn the equation from standard form to slope intercept form. So, solve for y.

3x - y = 2

~Subtract 3x to both sides

-y = 2 - 3x

~Divide -1 to everything

y = -2 + 3x

~Reorder

y = 3x - 2

The slope of a parallel line is the same as the original.

Find the new y-intercept.

y = 3x - 2

-2 = 3(-2) + b

-2 = -6 + b

4 = b

y = 3x + 4

Best of Luck!

7 0
3 years ago
[7.07] Choose the correct product of (6x + 2)2.
Elodia [21]
Answer:
36x^2 + 24x + 4

Explanation:
The perfect square has the following general formula:
(a + b)^2 = a^2 + 2ab + b^2

Now, we will expand the given perfect square based on the above general formula:
(6x + 2)^2 = (6x)^2 + 2(6x*2) + (2)^2
                 = 36x^2 + 24x + 4

Hope this helps :)
4 0
4 years ago
Read 2 more answers
What was the original price if they is a 10% discount and the sale price is 76.50
fomenos

if the price is 76.50 now then it was 84.15

8 0
4 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:

\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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