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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.
Discuss the use of dummy variables in both multiple linear regression and non-linear regression. Give examples if possible
Change point problems : Problems with chronologically ordered data collected over the period during which there is known to have been a change in the underlying data generation cou
Median absolute deviation (MAD) : It is the very robust estimator of the scale given by the following equation or, in other words we can say that, the median of the absolute
Ordered alternative hypothesis is a hypothesis or assumption which speci?es an order for the set of parameters of interest as an alternative to the equality, rather than simply th
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Length-biased data is a data which arise when the probability that an item is sampled is proportional to its own length. A main example of this situation occurs in the renewal the
The distribution free or technique which is the analogue of the analysis of variance for the design with two factors. It can be applied to data sets which do not meet the assumptio
The Null Hypothesis - H0: There is no heteroscedasticity i.e. β 1 = 0 The Alternative Hypothesis - H1: There is heteroscedasticity i.e. β 1 0 Reject H0 if |t | > t = 1.96
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
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