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ioda
3 years ago
15

PLEASE ANSWER (Photo Down Below)

Mathematics
1 answer:
Naya [18.7K]3 years ago
5 0

Answer:

I think it is the power of a power.

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HELPPP
zhuklara [117]

Answer:

Step-by-step explanation:

what was it?

4 0
4 years ago
A player moves a knight from location (3, 2) to (5, 1) on a chessboard. If the bottom-left square is labeled (1, 1), which descr
Kitty [74]
Translation , <span>in geometry ,is described as the movement of a function or graph to a certain distance.Or simply the transformation of the image to a certain level without rotating or reflecting.
Hence,
Using the idea of translation I have concluded the movement of </span><span>location (3, 2) to (5, 1) on a chessboard will  result:
</span>
2 units to the right and 1 unit down.
1 unit to the right and 2 units up
5 0
4 years ago
PLS HELP ILL MARK BRAINLIEST
scoundrel [369]

Answer: The first option it would be raised to the power of x for x years this is because you don't know how many years x represents so you can't do 2 or some other number cause x could be 1000. Also its not multiplication because then it wouldn't double so

y=200^x

Step-by-step explanation:

3 0
3 years ago
The data set below shows the temperature, in degrees Fahrenheit, of a mug of tea compared tothe time in minutes after being pour
Verizon [17]

Given the model of the Exponential Regression:

y=174.4(0.987)^x

By definition:

Residual=Observed\text{  }y\text{ }value-Predicted\text{ }y\text{ }value

You can see in the table the observed y-values (the temperature in Fahrenheit)

In order to find the Predicted y-values, you need to substitute all the x-values given in the table (the time in minutes) into the equation and then evaluate. You get:

y=174.4(0.987)^5\approx163.35y=174.4(0.987)^8\approx157.07y=174.4(0.987)^{11}\approx151.02y=174.4(0.987)^{15}\approx143.32y=174.4(0.987)^{18}\approx137.80y=174.4(0.987)^{22}\approx130.77y=174.4(0.987)^{25}\approx125.74y=174.4(0.987)^{29}\approx119.33y=174.4(0.987)^{32}\approx114.73y=174.4(0.987)^{35}\approx110.32

Now you have these points:

(5,163.35),(8,157.07),(11,151.02),(15.143.32)(18,137.800),(22,130.77),(25,125.74),(29,119.33),(32,114.73),(35,110.32)

Therefore, you can plot them on the Coordinate Plane:

By definition, when the residual plot shows a pattern, a non-linear regression model is appropriate for the data. Therefore, the Exponential Regression Model is a good fit.

Hence, the answer is:

- Residual Plot:

- First option.

6 0
2 years ago
6 + 3q + 4 = 31
Neporo4naja [7]

Answer:

q=7

Step-by-step explanation:

6+3q+4=31

10+3q=31

3q=31-10

3q=21

q=7

4 0
3 years ago
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