Given that the sum of squares for error is 60 and the sum of squares for regression is 140, then the coefficient of determinatio
1 answer:
Answer:
<h2>0.7</h2>Step-by-step explanation:
The coefficient of determination which is also known as the R² value is expressed as shown;
Sum of square of total (SST)= sum of square of error (SSE )+ sum of square of regression (SSR)
Given SSE = 60 and SSR = 140
SST = 60 + 140
SST = 200
Since R² = SSR/SST
R² = 140/200
R² = 0.7
Hence, the coefficient of determination is 0.7. Note that the coefficient of determination always lies between 0 and 1.
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