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The linear regression equation for the given data is:

\[
f(a) = 15.971a + 692.267
\]

Would you like further details on how this was calculated or have any other questions?

Here are some related questions to explore:
1. How do I interpret the slope and intercept of a linear regression equation?
2. What is the meaning of a "line of best fit" in linear regression?
3. Can linear regression be used for non-linear data, and if not, what should be used?
4. How can I calculate the correlation coefficient to measure the strength of this linear relationship?
5. What other regression models exist for more complex datasets?

**Tip**: Always round regression values appropriately to match the desired precision in your application (e.g., 3 decimal places in this case).

Use your graphing calculator or Desmos to find the line of best fit for the given data. Use the indicated variables and proper function notation in your answer. Round to 3 decimal places as needed. The data points are: (1, 695), (2, 761), (3, 704), (4, 778), (5, 756), (6, 795).

Learn how to calculate the linear regression equation using the given data points: (1, 695), (2, 761), (3, 704), (4, 778), (5, 756), (6, 795). This problem involves key concepts of linear regression, algebra, and the least squares method, suitable for students in Grades 10-12.

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