Censored regression model

Social media has become the ultimate form of communication since the Internet’s humble beginnings. They come in many shapes, sizes, and colors, all designed to attract every millennial they can get their hands on. Numerous research has supported on how social media has been proven to have addictive and distracting qualities, especially within the population of university students. A sample survey revealed that 90% out of 3,000 students sampled from across the U.S. used Facebook, whereas 37% used…

For the first single linear regression (figure 1-3 and 1-4, associate’s and below), in order to test the question, it was useful for one to view a regression for educational levels under an associate degree because this is generally considered lower education. When looking at combined lower education with combined higher education, which is our second single linear regression (figure 1-5 and 1-6, bachelor’s and above), it was expected to see a correlation for both of them. The results were…

these types of aggressive behavior in the online society are what we call recurring behavior. Also, a sequence of ordinary least square or OLS regression models are calculated to measure the connection between cyberbullying victims, perpetrators, and self-esteem. To eliminate possible issue of statistical model like multicollinearity, multiple regression diagnostic analyses were completed. The final result of the research based on consistent statistical analysis concluded that cyberbullying…

electoral system is proportional or permissive. • Multivariate Regression Analysis Table~ ef{tab:example1} shows that when there are ethnic groups in a society there is a slightly increase in effective number of electoral parties in a multivariate regression model, for which there is control of other confounding variables as logged district magnitude, upper ties seats, number of presidential candidate, proximity…

First, the variable Percentage Black Students had a medium negative correlation (r = -0.59) to QDI. A linear regression analysis using Black Student Percentage as the independent variable and QDI the dependent variable resulted in a linear regression equation with a y-intercept of 163.11 and a slope of -0.27, which is statistically significant due to a p value of 0.01. The results of the regression analysis for these variables can be seen below in Figure…

Final Summary Essay (25%) Grading Rubric for Final Summary Essay CRITERA Total Pts Excellent (A) Good (B) Average (C) Below Average (D) Failing (F) Thesis (10pts) 50 Pts Includes an insightful thesis statement, with a clear introduction and conclusion. Thesis fits the parameters of the assignment. Includes a thesis statement, with an introduction and conclusion. Thesis fits the parameters of the assignment. Thesis statement is unclear. Introduction and conclusion are muddled and may not serve…

In the article “The Happiness of Pursuit” by Jeffrey Kluger, multiple tables are provided showing different data and percentages on certain factors of happiness. Looking at the tables on the page title “Got Joy,” there was three in specific that caught my eye. The first being the one labeled “Then and Now” which shows the difference in percentages from 2004 to 2013 in whether people described themselves as optimists or pessimists. The percent of Optimist decreased from 70% to 50%, which can…

1. What are the least, and most, amount of distinct zeroes of a 7th degree polynomial, given that at least one root is a complex number? Answer: If the equation is 7th degree then it has 7 roots. Those roots can be complex or real. Complex roots always come in pairs, so if it has one, then it has 2, the other one being the conjugate of the first one. This in other words, if one complex root is a + bi, then the other complex root is a – bi. If at least one root were complex, then we would have a…

MIS 790 Comprehensive Exam Q1. To be able to build prediction models of botnet attacks, we had to decide information requirements. (a) What process did you use for identifying predictor variables for modelling botnet traffic flows? (b) What additional measures can be taken in terms of information (or data) gathering to further improve the accuracy of the prediction models? (a) I started with a literature survey and read articles to understand the problem and technical terms. To understand the…

Multicollinearity Multicollinearity is one of the common problems in spatial regression analysis. Sometimes some or all of the explanatory variable are highly correlated in the sample data, which means that it is difficult to tell which of them is influencing the dependent variable (Barrow, 2009, p. 306). Hence, to check whether the independent variables are correlated with each other, a correlation matrix for the three indicators was measured using excel. The correlation matrix in table 2…