Given information
Swim yards and the student’s heart rate (beats per minute) after swimming on a random sample of days:
Step-by-step explanation
The slope of a regression line represents rate of change in as changes. As is dependent on , the slope describes predicted values of given as . By using the ordinary least squares method, one of the most common linear regressions, slope, is found by calculating as covariance of and , divided by sum of squares (variance) of .
Slope must be calculated before the -intercept while using a linear regression, as the intercepts is calculated using the slope. Slope of a regression line is used with a t-statistic to test the significance of a linear relationship between and .
The intercept reflects the location where it intersects an axis. The slope and the intercept define the linear relationship between two variables, and can be used to estimate the average rate of change. The greater the magnitude of the slope, steeper the line is and the greater is the rate of change.