Explain how a line of best fit can be used to make predictions. You explanation should be at least 3-4 sentences and include at least 6 of the following words.
- line of best fit
- slope
- y-intercept
- prediction
- ordered pair
- independent variable
- dependent variable
- x axis
- y axis
1 answer
A line of best fit is a straight line drawn through a set of data points on a graph in order to represent the relationship between the independent variable (plotted on the x-axis) and the dependent variable (plotted on the y-axis). It can be used to make predictions for the dependent variable based on the value of the independent variable. This is done by calculating the slope, which represents the rate of change between the two variables, and the y-intercept, which is the point at which the line crosses the y-axis. Once the line of best fit is established, an ordered pair can be plugged into the equation to generate a prediction for the dependent variable's value.