Final answer:
The values of b0 and b1 in a regression equation are determined using sample data through a process called linear regression.
Step-by-step explanation:
The least-squares regression line is the best-fit line that minimizes the sum of squared errors. This line is calculated using the sample data and is used as an estimate for the population regression line. Testing the significance of the correlation coefficient helps determine if the regression line is appropriate for the given data.
To find the equation of the least-squares regression line, the data can be entered in a calculator and a scatter plot can be made. The calculator's regression function can then be used to find the equation of the line.