Step 1: Choose Two Variables that You Want to Compare. Consider selecting two variables that can be connected to one another in some way. For example, you might compare the average number of hours of television watched each day with the average number of hours spent studying each day.

Step 2: Gather Data to Measure Both Variables. You’ll need to compile data points from a survey that includes questions on the two variables you selected in Step 1. Make sure to survey a large enough sample size for the data points to be representative.

Step 3: Create a Scatterplot of the Data. A scatterplot is a visual representation of the data points, which will allow you to investigate any patterns between the two variables. A linear regression line can be plotted on the scatterplot to show the overall trend in the data.

Step 4: Calculate a Linear Regression Model. The model calculates the strength of the relationship between the two variables. You can use a simple linear regression formula or a regression equation to calculate the model’s coefficients.

Step 5: Analyze the Results. You can then examine the results to see if the linear regression model accurately predicts the relationships between the two variables. Consider if the data points fit the linear regression line, and draw any conclusions about the data set. With this analysis, you can use the linear regression in predicting future outcomes.