Final answer:
The question asks for the equation of the best-fit line for a dataset, which requires statistical calculations or software to determine the slope and y-intercept. Without the raw data or statistical output, the exact best-fit line equation cannot be provided.
Step-by-step explanation:
The question involves finding the equation for the best-fit line (linear regression line) for the given data on the percentage of students in public schools who have met all six of California's physical fitness standards over several years. To find the equation of the best-fit line, we often use statistical software, but we can also calculate it manually using the least squares method. The general form of the equation for a linear trend line is y = mx + b, where y represents the dependent variable (percentage of students meeting the standards), x is the independent variable (the year), m is the slope of the line, and b is the y-intercept.
However, without the raw data or additional statistical output, it is not possible to accurately provide the equation of the best-fit line. You would typically use statistical software or manual calculations with the given data points to find the values of m and b.