Bivariate relationshipsProblem: I am going to investigate whether there is a relationship between the sampling height (explanatory variable) (cm) and the height (response variable) of the crown of the young trees (cm) which is measured from the base of the crown. Based on data from 1.5 hectare or 2.25 hectare study plots in Waitutu Forest. Trees were randomly selected from plots and measured over the summer. The plots were selected to constitute a representative sample of vegetation growing in alluvial and terraced sites. The saplings I am studying come from the Waitutu Forest, New Zealand, circa 2001-2008. I believe that as the height increases, the crown height will also become taller. I believe this because since I am measuring height in both of my variables, you hope there will be a relationship. Information: “A sapling is an immature tree with a thin trunk. Depending on the tree species, a sapling can be between three and 15 years old and ranges in height from 2 to 10 feet (approximately 0.61 to 3.05 m). Saplings differ from seedlings, which are trees less than three years old. The main attributes of a young tree, apart from its age, are the flexibility of the trunk and smooth bark; mature trees generally have thicker, darker outer bark. Young trees usually do not produce fruit or flowers. The crown height of young trees is taken from the base of the crown which is "an imaginary horizontal line drawn across the trunk from the bottom of the lowest living 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 national forest, covering almost 45,000 ha, is located in a rather isolated setting. The heart of the rarest is 100 km north...... middle of paper ......go too. The Waitutu Forest has a mixed range of trees, as I only sampled saplings from either 1.5 hectare or 2.25 hectare study plots, I could expect my results to be similar and can apply my results throughout the Waitutu forest. To make this investigation more specific and precise, I could take my data on specific species from Waitutu Forest. Another element to take into account is the weather situation. Young trees 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 due to the difference. Young trees 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 sapling crown height (cm).).