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sleet_krkn [62]
4 years ago
15

Erik tried to evaluate 2 x 7,000 step by step.

Mathematics
2 answers:
lyudmila [28]4 years ago
5 0
That’s good to know.
ElenaW [278]4 years ago
4 0
First dktvc fdgvhfcc Hecht dc
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Dvinal [7]

Answer:

i did this it linear im pretty sure

6 0
3 years ago
Read 2 more answers
Factor 30-6v-18w30−6v−18w30, minus, 6, v, minus, 18, w to identify the equivalent expressions.
kompoz [17]

Answer:

Option C.

Step-by-step explanation:

The given expression is

30-6v-18w

We need to find the expression which is equivalent to the given expression.

The given expression can be rewritten as

6\times 5-6\times v-6\times 3w

The greatest common factor (G.C.F.) is 6. Taking out G.C.F., we get

30-6v-18w=6(5-v-3w)

Hence, the correct option is C.

7 0
4 years ago
Find the equation of a line that passes through the points (-2, -1) and (0, -5)
Klio2033 [76]

Answer:

Step-by-step explanation:

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6 0
3 years ago
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which transformation causes the described change in the graph of the function y = cos x? the transformation results in a horizon
luda_lava [24]
The transformations that can occur to the graph of the function y = cos x that will exhibit changes would be changes to the angle, or changes to the coefficient. The transformations can be viewed as follows:

y = cos x transforms to y = cos (kx)

k > 1 ; a horizontal shrink occurs
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y = cos x transforms to y = A cos x

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5 0
4 years ago
An auto manufacturing company wanted to investigate how the price of one of its car models depreciates with age. The research de
sertanlavr [38]

Answer:

a)

Price=150.414-16.626 Age

b)

$34.032

c)

We can't estimate the price of 18 year old car using the above regression equation because the price of 18 year old car falls outside the scope of the model

Step-by-step explanation:

Age(X)   Price(Y)

8              18

3              94

6              50

9              21

2              145

5              42

6              36

3              99

a)

The regression equation can be written as

y=a+bx

b=\frac{sum(x-xbar)(y-ybar)}{sum(x-xbar)^{2} }

a=ybar-bxbar

xbar=sumx/n

xbar=(8+3+6+9+2+5+6+3)/8=5.25

ybar=sumy/n

ybar=(18+94+50+21+145+42+36+99)/8=63.125

x y x-xbar y-ybar (x-xbar)^2 (x-xbar)(y-ybar)

8 18 2.75  -45.125 7.5625        -124.09375

3 94 -2.25 30.875 5.0625        -69.46875

6 50 0.75 -13.125 0.5625        -9.84375

9 21 3.75  -42.125 14.0625        -157.96875

2 145 -3.25 81.875 10.5625        -266.09375

5 42 -0.25 -21.125 0.0625         5.28125

6 36 0.75 -27.125 0.5625        -20.34375

3 99 -2.25 35.875 5.0625        -80.71875

Total             43.5        -723.25

b=\frac{sum(x-xbar)(y-ybar)}{sum(x-xbar)^{2} }

b=-723.25/43.5

b=-16.626

a=ybar-bxbar

a=63.125-(16.626)*5.25

a=150.414

Thus, the required regression equation is

y=150.414-16.626 x

Price=150.414-16.626 Age

b)

For predicting price of 7 years old car we put x=7 in the estimated regression equation

y=150.414-16.626 x

y=150.414-16.626(7)

y=150.414-116.382

y=34.032

The predicted price of a 7 year old car is $34.032.

c)

We can't estimate the price of 18 year old car using the above regression equation because the price of 18 year old car falls outside the scope of the model. The estimate of price is only valid for 2 to 9 year old car.

8 0
4 years ago
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