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Plot the simulated data

Now create a scatterplot of the simulated observations to explore the direction and strength of the linear association.

With plot(x, y), you can create a scatterplot with the values of x on the x-axis and the values of y on the y-axis. You can customize the plot in many ways through additional arguments (see the documentation): pch to specify a plot symbol, cex to set the symbol size, col to set the color, main to add a title, or xlab and ylab to set axis labels.

This exercise is part of the course

Intro to Computational Finance with R

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Exercise instructions

  • Create a scatterplot of the simulated observations
  • Customize the plot in the following way: specify the plot symbol with pch = 16, set the symbol size to 2, set the color to "blue", use the title "Bivariate normal: rho = 0.9", and use the axis labels "x" and "y".

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# The simulated values (xy_vals) are still in your workspace

# Create scatterplot
Edit and Run Code