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Lera25 [3.4K]
3 years ago
14

A company loses $5,400 as the result of a manufacturing defect. Each of the 8 owners have agreed to contribute an equal amount,

x, to help pay for the losses.
Part A
Which expression shows the total loss after the owners contribute some money?
Mathematics
1 answer:
11Alexandr11 [23.1K]3 years ago
7 0

Answer:

x=$5400:8

$5400:8x = total loss after the owners contribution

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Solve the slope…. pls
Zielflug [23.3K]

Answer:

slope = 5/7

Step-by-step explanation:

Given the x-intercept: (-7, 0) and the y-intecept: (0, 5):

We can use the slope formula:

m = \frac{y2 - y1}{x2 - x1}

Let (x1, y1) = (-7, 0)

(x2, y2) = (0, 5)

Plug these values into the slope formula:

m = \frac{y2 - y1}{x2 - x1} = \frac{5 - 0}{0 - (-7)} = \frac{5}{7}

Therefore, the slope is 5/7

4 0
2 years ago
If you were to use the substitution method to solve the following system, choose the new equation after the expression equivalen
s344n2d4d5 [400]
From the first equation
6x - y = 1
6x - y - 1 = 0
6x - 1 = y

Substituting we get
4x - 3(6x - 1) = -11
5 0
3 years ago
In the diagram, line f is parallel to line , and line e intersects line and g.
Rama09 [41]

Answer:

x=2°

Step-by-step explanation:

(5x+35)°=45° because they are alternative angle

5x+35°=45°

5x=45°-35°

5x=10°

x=10°/5

x=2°

5 0
3 years ago
Convert 6 yards into meters. Round your answer to the nearest tenth.
Helga [31]

Answer:

5.4864

Step-by-step explanation:

to the nearest tenth probably 0.5

6 0
3 years ago
Find the residual values, and use the graphing calculator tool to make a residual plot. A 4-column table with 5 rows. The first
Svetlanka [38]

The best answer from the options that proves that the residual plot shows that the line of best fit is appropriate for the data is: ( Statement 1 ) Yes, because the points have no clear pattern

X         Given     Predicted     Residual value

1            3.5           4.06             -0.56

2           2.3           2.09             0.21

3            1.1            0.12               0.98

4           2.2           -1.85              4.05

5          -4.1            -3.82            -0.28

The residual value is calculated as follows using this formula: ( Given - predicted )

1) ( 3.5 - 4.06 ) = -0.56

2) ( 2.3 - 2.09 ) = 0.21

3) ( 1.1 - 0.12 ) = 0.98

4) (2.2 - (-1.85) = 4.05

5) ( -4.1 - (-3.82) = -0.28

Residual values are the difference between the given values and the predicted values in a given data set and the residual plot is used to represent these values .

attached below is the residual plot of the data set

hence we can conclude from the residual plot attached below that the line of best fit is appropriate for the data because the points have no clear pattern ( i.e. scattered )

learn more about residual plots : brainly.com/question/16821224

5 0
2 years ago
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