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umka2103 [35]
2 years ago
11

Find the slope of the line that passes through each pair of points.C(-1,2),d(-5,2)

Mathematics
1 answer:
lozanna [386]2 years ago
6 0

your slope will be 0

hope this helps! :)

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son4ous [18]
I’m not sure if this is right but im guessing c.
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3 years ago
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The greatest integer that satisfies the inequality 1.6−(3−2y)<5
Cerrena [4.2K]

Solve the inequality 1.6-(3-2y)<5.

1. Rewrite this inequality without brackets:

1.6-3+2y<5.

2. Separate terms with y and without y in different sides of inequality:

2y<5-1.6+3,

2y<6.4.

3. Divide this inequality by 2:

y<3.2

4. The greatest integer that satisfies this inequality is 3.

Answer: 3.

6 0
2 years ago
Help meeeeeeeeeeeeeee pls
WITCHER [35]

Answer:

Area = 15.36 ft

Step-by-step explanation:

First find the area of the dotted line triangle using the formula: base x height x 1/2, which would be 1.2ft x 12.8 x 1/2 = 7.68ft.

Next, add another triangle at the top, mirroring the shown triangle, of the parallelogram.

Then, find the area of the shape as though it were a rectangle. (base x height) - 2.4 x 12.8 = 30.72.

Next, multiply the area of the invisible triangle by 2, 7.68 x 2 = 15.36ft

and Finally, subtract the area of the rectangle shape of the the sum of the two invisible triangles, 30.72 - 15.36 = 15.36ft

The area of the parallelogram is 15.36 ft.

5 0
2 years ago
????‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎
tatiyna

Answer:

1 and 3

Step-by-step explanation:

Part a: 1 and 3

part b: x = −22

<u><em>Please mark as brainliest </em></u>

Have a great day, be safe and healthy  

Thank u  

XD

8 0
2 years ago
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Suppose the correlation between height and weight for adults is +0.40. What proportion (or percent) of the variability in weight
Schach [20]

Answer:

We are given the correlation between height and weight for adults is 0.40.

We need to find the proportion of the variability in weight that can be explained by the relationship with height.

We know that coefficient of determination or R-square measures the proportion or percent of variability in dependent variable that can be explained by the relationship with independent  variable. There the coefficient of determination is given below:

R^{2}=r^{2}=0.40^{2}=0.16

Therefore, the 0.16 or 16% of the variability in weight can be explained by the relationship with height



7 0
3 years ago
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