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Sergio039 [100]
4 years ago
11

Find the slope: 6x + 2y = 8 Question 3

Mathematics
2 answers:
grigory [225]4 years ago
8 0
The slope is equal to -3/2
GrogVix [38]4 years ago
5 0

Answer:

y=-3x+8

Step-by-step explanation:

subtract 6x from each side

then divide 2

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The area of a playground is 336 yd?. The width of the playground is 5 yd longer than its length. Find the length and width of th
notka56 [123]

Answer:

length = 16 yd, width = 21 yd

Step-by-step explanation:

A= l*w

336=l*w

w=5+l

336=l*(5+l)

l²+5l-336=0

l= 16, -21

length cant be negative so

l=16

plug l in to find w

w=21

7 0
4 years ago
If using the method of completing the square to solve the quadratic
In-s [12.5K]

Answer:

100

Step-by-step explanation:

20/2= 10 and 10 squared is 100 but you have to move the -6 to the opposite side

4 0
3 years ago
On a platter of chicken wings there are mild wings and hot wings. In a representative sample of 10 chicken​ wings, there are 5 m
andreyandreev [35.5K]

Answer:

3/5 is equivalent to 54/90

3 times 18 is 54

5 times 18 is 90

Hope this helps

Step-by-step explanation:

4 0
3 years ago
The least-squares regression line is:
babunello [35]

Answer:

a. the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible.

Step-by-step explanation:

If we have N points (x_1, y_1),. ...(x_N, y_N) and we want to adjust a model y = ax+b

We can define the error associated to this like that:

E(a,b) = \sum_{n=1}^N [y_n -(ax_n +b)]^2

So as we can see here we are adding the square distances between the real and the adjusted values in order to minimize the error for this reason the correct answer is:

a. the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible.

For this case we need to calculate the slope with the following formula:

a=\frac{S_{xy}}{S_{xx}}

Where:

S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}

S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}

And we can find the intercept using this:

b=\bar y -m \bar x

7 0
4 years ago
Luis has 8 baseball cards, 10 football cards, 4 hockey cards, and 14 basketball cards. All the same size and shape. Luis will se
muminat
Add them all together: 36
Hockey card probability: 4/36
Simplify: 1/9
6 0
3 years ago
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