Regression equation is: y = 3.68x + 28.45.
For each value of x:
Plug value into regression equation to get yhat
Compute squared residual (y - yhat)^2
When done: SSE = sum of squared residuals
Sarah U.
asked 04/29/21A teacher is interested in the relationship between the time spent studying for an exam and exam score. The table lists scores for 5 students. The value of b0 = 28.45 and the value of b1 = 3.68
| Hours studied (x) | 18 | 10 | 14 | 4 | 17 |
| Exam score (y) | 94 | 42 | 100 | 51 | 87 |
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Step 2 of 6 :
Calculate the Sum of Squared Errors (SSE). Round intermediate values and final answer to two decimal places.
Regression equation is: y = 3.68x + 28.45.
For each value of x:
Plug value into regression equation to get yhat
Compute squared residual (y - yhat)^2
When done: SSE = sum of squared residuals
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