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son4ous [18]
4 years ago
10

A sporting goods store sells triangular team pennants in two sizes. The base of one pennant is 18 in. and the length of the side

is 9 in. The other pennant is similar to the larger pennant and has a base that is 6 in.
What is the length of the side of the smaller pennant?
Mathematics
2 answers:
juin [17]4 years ago
6 0
This is a proportion problem because the problem stated that the two team pennants are similar.

Pennant 1 = base = 18 in ; length = 9 inches
Pennant 2 = base =   6 in ; length = x ?

9/18 = x/6
9*6 = 18x
54 = 18x
54/18 = x
3 = x

The length of the  side of the smaller pennant is 3 inches.
erik [133]4 years ago
4 0

Answer:the answer is 3inches

Step-by-step explanation:

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What is the slope of the line y = -5x +1 ?
laila [671]

Answer:

-5

Step-by-step explanation:

Remember the slope intercept form:

y = mx + b

m = Slope value

b = y-intercept

So in this case,

y = (-5)x + b

m = -5

b = 1

Thus the answer is -5

3 0
3 years ago
Need help what does m
Nadya [2.5K]
What does m? I believe that stands for measurement I might be wrong
7 0
3 years ago
What is the solution for this equation? |-4x +7 | = 15
OverLord2011 [107]
X= -2 because since it has the absolute value symbol it’s actually 4 and not -4 so 4x2= 8 and 8+7=15
5 0
3 years ago
An architectural drawing lists the scale as 1/4" = 1'. If a bedroom measures 312" by 514" on the drawing, how large is the bedro
earnstyle [38]

Answer:

1248' x 2056' so I think you missed copying decimals but I would asume B

Step-by-step explanation:

312''x(1/(1/4''))=1248'

514''x(1'/(1/4''))=2056'

4 0
3 years ago
The correlation coefficient between two quantitative variables is approximately 0.02. What does the value of this correlation co
pogonyaev

Answer:

The correlation coefficient "tell us" that the model in question does not fit the data well (the correlation coefficient is near zero), in whose case we need to find another that can do it.

Step-by-step explanation:

Roughly speaking, the correlation coefficient "tell us" if two variables could present the following behavior:

  1. As one variable increases, the other variable increases too. In this case, the correlation coefficient is high and positively correlated. As the correlation coefficient is near 1, the correlation between two quantitative variables is almost perfect.
  2. As one variable decreases, the other variable decreases too. In this case, the correlation coefficient is also high, but negatively correlated. As the correlation coefficient is near -1, this correlation is almost perfect for this case.
  3. There could be no correlation at all. In this case, the correlation coefficient is near a <em>zero value</em>.

As we can follow from the question, a correlation coefficient of 0.02 is near to zero. In this case, the correlation coefficient is "telling us" that the two variables do not follow the cases 1 and 2 above described. Instead, it follows the case 3.

Therefore, the model in question does not fit the data well, in whose case we need to find another that can do it. For example, if the model is linear, we need to test an exponential model.

It is important to remember that the correlation coefficient does not tell us anything about that one variable causes the other variable, only behaviors as described above.

7 0
4 years ago
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