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The scatter plot of SRES1 versus totexp demonstrates that there is non-linear relationship that exists as most of the points are below and above zero. The scatter plot show that there many vertical structural breaks clearly visible. There are many outliers that can be seen and are obvious when analyzing these scatter plot. There is no leverage or influential points that are determining the slope of the line of best fit. There is no heteroscedasticity in this scatter graph which means there is constant variance. This scatter plot is very similar to the scatter plots conducted in the original regression which included the 17 outliers that I removed.
The scatter plot of SRES1 versus income demonstrates that there is a non-linear relationship that exists as points are randomly above or below zero and there are no vertical structural breaks. There is a cluster of data points clearly visible. There are outliers that can be seen and are obvious when analyzing the scatter plot. There is no leverage or influential points that are determining the slope of the line of best fit. There is no heteroscedasticity in this scatter graphs which means there is constant variance. This scatter plot is very similar to the scatter plots conducted in the original regression which included the 17 outliers that I removed.
Hanging rootogram is he diagram comparing the observed rootogram with the ?tted curve, in which dissimilarities between the two are displayed in relation to the horizontal axis,
#how to analyse data
I do have a data of real gdp for each state and from 2000 to 2010 and I also have estimated population of illigel immigrants for each state from 2000 to 2010. In my thesis I am try
1.Sam Lucarelli, owner of Lucarelli Products, is evaluating whether to produce a new product line. After thinking through the production process and the costs of raw materials and
Profile plots is a technique of representing the multivariate data graphically. Each of the observation is represented by a diagram comprising of a sequence of equispaced vertical
Half-normal plot is a plot for diagnosing the model inadequacy or revealing the presence of outliers, in which the absolute values of, for instance, the residuals from the multipl
Imprecise probabilities is a n approach used by soft techniques in which uncertainty is represented by the closed, convex sets of probability distributions and the probability of
HOW TO CONSTRUCT A BIVARIATE FREQUENCY DISTRIBUTION
Multidimensional scaling (MDS) is a generic term for a class of techniques or methods which attempt to construct a low-dimensional geometrical representation of the proximity matr
Principal factor analysis is the method of factor analysis which is basically equivalent to a principal components analysis performed on reduced covariance matrix attained by repl
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