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katrin2010 [14]
3 years ago
9

Hi everyone!

Mathematics
1 answer:
Nataly_w [17]3 years ago
7 0
25(4)3 -4(-2)3 -4(-2)2 (4)

25(64) -4(-8) -4(4) (4)

1600+32-16×4

1600+32-64

1568-64= 1504

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The president of a small manufacturing firm is concerned about the continual increase in manufacturing costs over the past sever
mrs_skeptik [129]

Answer:

The answers to the question are

(a) The time series plot is given as attached

(b) The parameters for the line that minimizes MSE for the time series are;

y-intercept, b₀ = 19.993

Slope, b₁ =  1.77

MSE = 19.44

T_t = 19.993  + 1.774·t

(c) The average cost increase that the firm is realizing per year is $ 1.77

(d) The estimate of the cost/unit for next year is $35.96.

Step-by-step explanation:

(a) Using the provided data, the time series plot is given as attached

(b) Given hat the y-intercept, = b₀

Slope = b₁

Therefore the  linear trend forecast equation is given s

T_t = b₀ + b₁·t

The linear trend line slope is given as

b₁ = \frac{\Sigma^n_{t=1}(t-\overline{\rm t)}(Y_t-\overline{\rm Y)}}{\Sigma^n_{t=1}(t-\overline{\rm t} )^2}

b₀ = \overline{\rm Y} - b₁·\overline{\rm t}

Where:

Y_t = Time series plot value at t

n =  Time period number

\overline{\rm Y} = Time series data average value and

\overline{\rm t} = Average time, t

Therefore, \overline{\rm t} = \frac{\Sigma^n _{t=1} t}{n}  = \frac{36}{8} =4.5

\overline{\rm t} = 4.5

\overline{\rm Y}  =  \frac{\Sigma^n _{t=1} Y_t}{n}  = \frac{223.8}{8} =27.975

\overline{\rm Y}  =  27.975

Therefore the linear trend line equation T_t, is

b₁ = \frac{\Sigma^n_{t=1}(t-\overline{\rm t)}(Y_t-\overline{\rm Y)}}{\Sigma^n_{t=1}(t-\overline{\rm t} )^2} =  = \frac{74.5}{42} = 1.774

b₀ = \overline{\rm Y} - b₁·\overline{\rm t} = 27.975 - 1.774×4.5 = 19.993

Therefore the trend equation for the linear trend is

T_t = 19.993  + 1.774·t

MSE = \frac{1}{2} \Sigma(Y-\overline{\rm Y)^ }^2 = \frac{155.495}{8} = 19.44

(c) From the linear trend equation, the average is given as the slope of the curve or b₁ which is equal to 1.774

Therefore the average cost increase that the firm has been realizing per year is $ 1.77

(b) From the equation of the future trend, we have when y = 9

T_t  is given as

T_t = 19.993  + 1.774×9 = 35.96

The cost/unit for 9th year is $35.96

3 0
4 years ago
5 times the square root of x over 2 = 1
kati45 [8]
Here's a step-by-step in solving this equation:

5 \sqrt{ \frac{x}{2} } = 1
\sqrt{ \frac{x}{2} } = \frac{1}{5} 

\frac{ \sqrt{2x} }{2} =  \frac{1}{5} 

\sqrt{2x} =  \frac{2}{5} 

2x =  \frac{4}{25}
∴x = \frac{2}{25}
3 0
4 years ago
Would I add the exponents with z to the fourth power?
Sloan [31]

When you have multiplying with same base, you add the power, for example here : z^6 * z^3 = z^(6+3) = z^9.

When you have dividing with the same base, you substract it, for example here : z^9/z^4 = z^(9-4) = z^5.

3 0
4 years ago
Please help!! Local wildlife experts have begun to track the population of trout in their area. The function f represents the ap
jeka57 [31]

Answer:

Option C.

Step-by-step explanation:

We know that

f(t) = 1.5t + 50

represents the approximate population of trout in Sky Lake

And

g(t) = 0.1t^2 - 4t + 70

represents the approximate population of trout in Lake Cyan

The total trout population in the area is described as

f(t) + g(t)

f(t) + g(t) =  [1.5t + 50] + [0.1t^2 - 4t + 70]

f(t) + g(t) =  [1.5t + 50+ 0.1t^2 - 4t + 70]

f(t) + g(t) =  [0.1t^2 -2.5t + 120]

f(t) + g(t) =  0.1t^2 -2.5t + 120

Option C.

6 0
3 years ago
Given HIJ ≌ MNO and HI = 15, IJ = 8, and JH = 11, what is OM?
Irina-Kira [14]
I hope im not to late to help but the anwers is 11 because JH and OM the same :)

3 0
3 years ago
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