1. The problem asks to create a figure summarizing results and to show the R code used to create it. 2. Since this is a programming and visualization task, the approach involves using R's plotting functions such as plot(), ggplot2, or base graphics. 3. For example, if summarizing a simple linear relationship, one might use: ```R x <- 1:10 y <- 2 * x + 1 plot(x, y, main="Summary Figure", xlab="X values", ylab="Y values", pch=19, col="blue") ``` 4. This code creates a scatter plot of y versus x with a title and axis labels. 5. If more complex summaries are needed, ggplot2 can be used: ```R library(ggplot2) data <- data.frame(x=1:10, y=2*(1:10)+1) ggplot(data, aes(x=x, y=y)) + geom_point(color="blue") + ggtitle("Summary Figure") + xlab("X values") + ylab("Y values") ``` 6. This code produces a similar plot with enhanced customization. 7. To summarize, the figure creation depends on the data and the summary type, but the above examples illustrate basic plotting in R.