Word Count : 575

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(a) Fit a regression line taking Y as the dependent variable and X as the independent variable.

To fit a regression line, we will use the formula:

\[
Y = \beta_0 + \beta_1 X
\]

Where:
- \( Y \) is the dependent variable (yearly revenue),
- \( X \) is the independent variable (sales),
- \( \beta_0 \) is the intercept,
- \( \beta_1 \) is the slope.

The coefficients can be calculated using the following formulas:

\[
\beta_1 = \frac{n \sum XY - (\sum X)(\sum Y)}{n \sum X^2 - (\sum X)^2}
\]
\[
\beta_0 = \frac{\sum Y - \beta_1 \sum X}{n}
\]

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