No, you can't see the equator.
0.600
In a regression analysis, if sse = 200 and ssr = 300, then the coefficient of determination is: <u>0.600</u>
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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
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I would say light. Hope this helps
Answer:
At the midpoint of the line joining the two equal charges
Explanation:
The midpoint of the line joining the two equal charges has equal distance from each charge. Since the charges are at x = a and x = -a, at the midpoint of the line joining the two equal charges, the magnitude of the electric field experienced as a result of each charge is the same. But these two fields are in opposite direction, hence the net resulting electric field would be equal to zero.
Answer:
Option D
4200 W
Explanation:
Power, P is also given as the product of voltage and current, expressed as P=VI
Here, P is power, V is voltage in the xircuit and I is current theough voltage.
Taking 12 V for voltage across and 350A for current across circuit then power will be
P=350*12=4200 W
Therefore, option D is correct.
