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I style=box-sizing: border-box; -webkit-tap-highlight-color: rgba(0, 0, 0, 0); border: 0px; max-width: 100%; height: auto; display: inline; vertical-align: middle; line-height: inherit; max-height: 31.25rem;> nterpreting Simple

Iα" style="box-sizing: border-box; -webkit-tap-highlight-color: rgba(0, 0, 0, 0); border: 0px; max-width: 100%; height: auto; display: inline; vertical-align: middle; line-height: inherit; max-height: 31.25rem;">nterpreting Simple Linear Regression

1. Linear correlation coefficient r = 0.794556

2. Coefficient of Determination ( r square) 0.631319

3. Standard Error of the estimate = 12.9668

4. SSR (Explained variation) = 5182.41

5. SSE ( Unexplained variation) = 3026.49

6. Predicted equation or equation of the regression line(Y predicted or hat) = 0.725983X + 16.5523

7. Level of Significance = 0.1

8. Critical Value= 0.378419

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Which number is the allowable risk of making a Type I error?

The allowable risk of making a Type I error is α" style="box-sizing: border-box; -webkit-tap-highlight-color: rgba(0, 0, 0, 0); border: 0px; max-width: 100%; height: auto; display: inline; vertical-align: middle; line-height: 1.6; max-height: 31.25rem; background-color: rgb(255, 255, 255); padding: 0.5rem 0.5rem 0px; cursor: pointer; font-weight: 600;">, the Level of Significance oralpha

The chances that there is no relationship between Y and X is about 10%. The lower is this chance of no relationship, the greater is the evidence that there slope is not zero.

Both A and B

None of the above

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