V. (25%) An investor is interested in the relationship between the performances of two companies. Let A denote the stock prices of company A, and B denote the stock prices of company B. Suppose the investor believes that stock A's prices can help predict stock B's prices. He recorded several data points and use the sample to run a simple linear regression. The results are shown below:

| Predictor | Coefficient | SE of Coef. |
| --- | --- | --- |
| Constant | 0.2747 | 0.9004 |
| Independent Variable | 0.9498 | 0.3569 |

| Source | DF | Sum of Squares |
| --- | --- | --- |
| Regression | 1 | 50.255 |
| Residual Error | 8 | 56.781 |
| Total | 9 | 107.036 |

(a) What is the least squares regression model estimated by the researcher? What is the sample size?