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g100num [7]
3 years ago
15

A group of students were asked if they like Math class and if they like English class.

Mathematics
2 answers:
FromTheMoon [43]3 years ago
7 0
Yea I’m pretty sure the answer A
padilas [110]3 years ago
5 0
A if that’s wrong i’m vv sorry
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Which function below has the lowest y-intercept?
Arte-miy333 [17]
If f(x) is given with points (0,5) and (4,3), it can be easily plotted in a coordinate system (see .jpeg image in attachment).
If g(x) is a function defined by text:
<em>Kyle started the summer having read 3 books but plans to read 6 books per month over the summer.
</em>Then, g(x) is given with:
g(x) = 6*x+3 (3 books read already, and 6 books will be read each month).
h(x) is already given with:
h(x)=3*x+4
These all three functions are plotted in coordinate system (see the .jpeg image), and it can be seen that the lowest y-intercept has function g(x), and it is the value of 3 on y-axis. Others have 4 (h(x)) and 5 (f(x)).
See the .jpeg image in attachment.

8 0
3 years ago
Read 2 more answers
What is the slope of the line that passes through the points R(11, 6) and S(9, -1)?
vodomira [7]

Answer:

7/2

Step-by-step explanation:

The slope of the line is given by

m = (y2-y1)/(x2-x1)

   = (-1-6)/(9-11)

   = -7/ -2

   = 7/2

7 0
3 years ago
Can I have some help
Kaylis [27]
4*7=28
5y=28
divide 5 to 28
y=5.6
7 0
3 years ago
What Is The Overall Home Work Score ??
Blababa [14]

Answer:

it is usally an 25%

Step-by-step explanation:

8 0
4 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.

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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
3 years ago
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