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lina2011 [118]
3 years ago
6

Please Help!

Mathematics
2 answers:
vaieri [72.5K]3 years ago
6 0
41.5 times 8.4 is the equation your in high school so you should know the rest
qwelly [4]3 years ago
6 0
<span>348.6  is your answer just multiply </span>41.5 times 8.4 
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I need to know which answer this is...​
charle [14.2K]
I would go with C :)
7 0
3 years ago
Help asp, I can’t find the answers:P
zepelin [54]

Answer:

the answer will be B

Step-by-step explanation:

It does increase

8 0
2 years ago
Simplify (√2)(3^√2)​
In-s [12.5K]

Answer:

√2·3^√2

Step-by-step explanation:

5 0
3 years ago
For the graph x = -3 find the slope of a line that is parallel to it.
slava [35]
We have that

the slope of the line that is parallel to x=-3 is classified as undefined.

<span>let's check the answer
</span><span>1) take any two points of the line x = -3
</span>point A (-3,0)   point B (-3,5)
2) find the slope of the line x=-3
m=(5-0)/(-3+3)=5/0----------> is undefined

the answer is the option undefined


5 0
3 years ago
Ten weeks of data on the Commodity Futures Index are as follows.
IgorLugansk [536]

The analysis of time series is a process by which a set of observations in a time series is analyzed.

Part a: The time series plot is constructed both in de$mo$ and excel sheet.

b. The data appear to follow a horizontal pattern.

Part b: The trial and error is used to find the value of exponential smoothing coefficient that results in MSE= 0.009 which is less than 0.01.

The MSE in the first table is calculated using the average of the two previous years.

The MSE in the second table is calculated using the moving average

The MSE in the third table is calculated by using ∝= 0.4 and the value of alpha changes to different values as shown in the cell U20, V20 and W20.

The MSE is the mean squared error.

We find the error by subtracting <u><em>forecast</em></u> data from the <em><u>actual</u></em> data.

The forecasted data may be average of 2 years , moving average of 3 years or adding the multiplied chosen value of alpha with the actual data and the multiplied value of 1- ∝ with the forecasted value of data.

The error is then squared.

The squared error is then averaged which gives the MSE.

The values of ∝= 0.400641005, 0.40319659, 0.400641001 may give the best MSE values.

brainly.com/question/24149197

brainly.com/question/20376850

brainly.com/question/15875267

Download xlsx
<span class="sg-text sg-text--link sg-text--bold sg-text--link-disabled sg-text--blue-dark"> xlsx </span>
695db9f7774343e86b7416fee987c7ea.png
8 0
2 years ago
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