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Sagot :
0.600
In a regression analysis, if sse = 200 and ssr = 300, then the coefficient of determination is: 0.600
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
What exactly is the connection between SST, SSR, and SSE?
- 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:
https://brainly.com/question/12213669
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