
Explanation:
Explanation:
The linear trend model is: y = Intercept + (Coefficient of t) × t
From the regression results:
For t = 2: y = 1.1500 + 2.0136 × 2 y = 1.1500 + 4.0272 y = 5.1772 ≈ 5.18
Therefore, the predicted value of y when t = 2 is closest to 5.18 (Option C).
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Regression Statistics
| Coefficient | Standard Error | t-Statistic |
|---|---|---|
| Intercept | 1.1500 | 0.3796 |
| t | 2.0136 | 0.0642 |
The predicted value of y given t = 2 is closest to:
A
4.03.
B
4.31.
C
5.18.
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