Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
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.
need answers to questions in book advanced and multivariate statistical methods
Individual differences scaling is a form of multidimensional scaling applicable to the data comprising of a number of proximity matrices from the different sources that is differe
The procedures used for determining how the quality of life is affected by the environment, in particular by factors such as air and solid wastes, water pollution, hazardous substa
Non linear mapping (NLM ) is a technique for obtaining a low-dimensional representation of the set of multivariate data, which operates by minimizing a function of the differences
Weighted least squares is the method of estimation in which the estimates arise from minimizing the weighted sum of squares of the differences between response variable and its pr
An approach to decrease the size of very large data sets in which the data are first 'binned' and then statistics such as the mean and variance/covariance are calculated on each bi
Oracle property is a name given to techniques for estimating the regression parameters in the models fitted to high-dimensional data which have the property that they can correctl
Link functions: The link function relates the linear predictor ηi to the expected value of the data. In classical linear models the mean and the linear predictor are identical
Observation-driven model is a term generally applied to models for the longitudinal data or time series which introduce within the unit correlation by specifying the conditional
The skewness is a measure of asymmetry and as it is positive at 4.29, it is greater than zero which reveals that the tail extends to the right indicating the distribution to be mor
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd