Bivariate relationshipsProblem: I will investigate whether there is a relationship between the sampling height (explanatory variable) (cm) and the height (response variable) of the canopy of the saplings (cm) that measure from the base of the crown. Based on data from 1.5ha or 2.25ha study plots in Waitutu Forest. Trees were randomly selected within the plots and measured during the summer. The plots were selected to be a representative sample of the vegetation growing on alluvial sites and terraces. The saplings I am investigating are from Waitutu Forest, New Zealand circa 2001-2008. I believe that as the height increases the canopy height will also increase. I believe this because, since I measure height in both variables, you would hope there is a relationship. Information: 'A sapling is an immature tree with a thin trunk. Depending on the tree species, a sapling can be three to 15 years old and range from 2 to 10 feet (about 0.61 to 3.05 m) tall. Saplings differ from seedlings, which are trees that are less than three years old. The main attributes of a sapling, apart from its age, are the flexibility of the trunk and the smooth bark; mature trees generally have thicker, darker outer bark. Normally, saplings do not produce fruit or flowers." The crown height of saplings is taken from the base of the crown which is "an imaginary horizontal line drawn across the trunk from the bottom of the lowest live foliage" to the "top of the crown which is the highest point of a standing tree.' This is shown in Figure 1. The large Waitutu State Forest, of almost 45,000 hectares, is located in a rather remote environment. The heart of the rarest is 100 km north......middle of paper......aller too. Waitutu Forest has a mixed range of trees, as I only sampled saplings from 1.5ha or 2.25ha study plots, I could expect my results to be similar and could apply my findings across the forest of Waitutu. To make this investigation more specific and accurate I could take my own data on specific species in the Waitutu Forest. Another aspect to take into consideration is the weather situation. The saplings would grow differently in other weather conditions. For this reason, if you took data from a forest in the North Island of New Zealand, you would expect different results because of the difference in se. The saplings would probably grow faster in the North Island because it would be warmer. Overall I can see the correlation between the two variables sampling height (cm) and the crown height of the saplings (cm).