Relation between speed and weight of cars Speech or Presentation

Relation amongst speed and weight of cars - Speech or Presentation ExampleIdeally, the speed of the vehicles go away be the dependent variable while the weight of the vehicles will be the independent variable.The first step in examining the relationship between the twain variables is use a scatter plot. The aim of this step is to form a general pattern and establish whether there is whatever deviation from this general pattern. The next step will be taken if we shall establish the existence of a linear relationship between the two variables.Figure 1 higher up shows how the weight of cars correlated with their speeds. A clear inverse linear relationship is evident, though not very strong as attest by large wavering. This means that, generally, as the weight of the car is increased, the speed is reduced.Figure 2 above shows how the weight of trucks correlated with their speeds. A clear inverse linear relationship is evident, which is very strong since variation is relatively low (Vining et al. 15). This means that, generally, as the weight of the tricks is increased, the speed is reduced. To supplement the graphs, a numerical mensuration will be conducted through correlation. This technique measures the strength and direction of the linear relationship between the two variables. To do this, more columns are added to the raw data in the same manner that is done when compute Pearson coefficient of correlation, as shown belowIncidentally, the close r is to 1, the better the model since it is considered to be less subject to sample errors. Therefore, the two models are relatively fit for performing the predictions because they are not too far from 1, precisely model one (cars) is stronger because it is nearer to 1 than model two.Although it has been established that there is an inverse relationship between the variables in the two models, there is no evidence to show that these relationships develop not resulted from other variables that have not been fact ored into the study (Vining et al. 15).Ideally, the heavier an object