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Bas_tet [7]
3 years ago
15

Andrea and the other members of the tennis team are practicing hitting tennis balls. If two people hit identical balls at the sa

me time, which ball has the most kinetic energy?
A.
the ball that travels the farthest distance from the ground
B.
the ball that stops moving first
C.
the ball that lands the shortest distance away
D.
the ball that moves at the fastest speed
Physics
1 answer:
Pachacha [2.7K]3 years ago
8 0

If two people hit identical tennis balls at the same time, the ball that has the most kinetic energy is the ball that moves at the fastest speed.

<u>Explanation:</u>

The energy possessed by an object by virtue of its motion is called its kinetic energy indicating that only moving objects have kinetic energy. The kinetic energy of an object depends on its speed and mass.

It is given by the expression

K=1/2 mv^2

where m denotes the mass of the object and v denotes its velocity.

since kinetic energy is directly proportional to the square of the velocity, the kinetic energy of an object increases with its velocity.

Hence an object that moves at the fastest speed will have the most kinetic energy.

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In a regression analysis, if sse = 200 and ssr = 300, then the coefficient of determination is:_________
Nataliya [291]

0.600

In a regression analysis, if sse = 200 and ssr = 300, then the coefficient of determination is: <u>0.600</u>

<u></u>

1. You have that the data set having SSR=300 and SSE=200

2. Therefore you have the coefficient of determination is:

r²=SSR/SSTO

SSTO=SSR+SSE

3. Then, when you substitute the values, you obtain:

SSTO=200+300

SSTO=500

r²=300/500

4. So, you have that the result is:

r²=0.6

As a result, as you can see, the solution to the previous exercise is that the coefficient of determination is 0.6

<h3>What exactly is the connection between SST, SSR, and SSE?</h3>
  • The difference between SST and SSR is the amount of Y's variability that is still unaccounted for after using the regression model, also known as the sum of squared errors (SSE). Sum of squares of residual can be used to directly calculate SSE.

To learn more about regression analysis visit:

brainly.com/question/12213669

#SPJ4

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2 years ago
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Explanation:

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