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Svetlanka [38]
3 years ago
6

Rectangle ABCD is dilated by a scale factor of 2 with the origin as the center of dilation, resulting in the image A1 B1 C1 D1.

If the slope of line AB is -2 what is the slope of line A1 B1. A. -4 B. -1 C. -2 D. 0
Mathematics
1 answer:
fgiga [73]3 years ago
6 0

Answer:

abcdefghigklmanp der gan gang

Step-by-step explanation:

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A graduated cylinder is filled with 36\pi36π36, pi cm^3 3 start superscript, 3, end superscript of liquid. The liquid is poured
barxatty [35]
The height will be 4 cm.

Explanation
<u />The volume of a cylinder is given by the formula V=πr²h.  For a volume of 36π cm³ and a radius of 3 cm,

36π = π(3²)h
36π = 9πh

Divide both sides by 9π:
36π/9π = 9πh/9π
4 = h
8 0
3 years ago
HELP WILL GIVE BRAINLIEST!!
Vikentia [17]

Answer:

160 in^2

Step-by-step explanation:

5 0
3 years ago
A bottle rocket is shot off a bridge into the stream below. The height of the rocket (in feet) above
nalin [4]

The correct model of the height of rocket above water is;

h(t) = -16t² + 96t + 112

Answer:

time to reach max height = 3 seconds

h_max = 256 ft

Time to hit the water = 7 seconds

Step-by-step explanation:

We are given height of water above rocket;

h(t) = -16t² + 96t + 112

From labeling quadratic equations, we know that from the equation given, we have;

a = -16 and b = 96 and c = 112

To find the time to reach maximum height, we will use the vertex formula which is; -b/2a

t_max = -96/(2 × -16)

t_max = 3 seconds

Thus, maximum height will be at t = 3 secs

Thus;

h_max = h(3) = -16(3)² + 96(3) + 112

h_max = -144 + 288 + 112

h_max = 256 ft

Time for it to hit the water means that height is zero.

Thus;

-16t² + 96t + 112 = 0

From online quadratic formula, we have;

t = 7 seconds

7 0
3 years ago
I need help with linear regression ​
frutty [35]

Answer:

<em>In statistics, linear regression is a linear approach to modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables). The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.</em>

6 0
4 years ago
A bag of flour weighs 4 1/5 kilograms, what would be the weight of 2 1/2 bags?
lord [1]

Answer:

21/2 or 10.5

Step-by-step explanation:

5 0
3 years ago
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