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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.
Pie chart is an extensively used graphical technique for presenting relative frequencies related with the observed values of the categorical variable. The chart comprises of a cir
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This term is sometimes used for the data collected in those longitudinal studies in which more than the single response variable is recorded for each subject on each occasion. For
Reasons for screening data Garbage in-garbage out Missing data a. Amount of missing data is less crucial than the pattern of it. If randomly
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Ordination is the procedure of reducing the dimensionality (that is the number of variables) of multivariate data by deriving the small number of new variables which contain much
hello I have a dataset including both categorical & numerical variable for market segmentation.how can i cluster them via k-means in matlab? thank you
The Null Hypothesis - H0: There is no autocorrelation The Alternative Hypothesis - H1: There is at least first order autocorrelation Rejection Criteria: Reject H0 if LBQ1 >
3. a. A researcher in Hong Kong computes the correlation between the percentage of employee turnover and the local unemployment rate (also expressed as a percentage) over a 20-mont
This is given by common network e.g. Phone Company. The public networks are those networks, which are given by common carriers. It can be a telephone company or an other organizati
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