Censored regression model

entrants to the industry, thereby businesses can get high profit margins in the long-term. 3.4. Model and…

Unit 2 Activity 1. Log on to any social networking site, like Facebook, and identify culture. Make a list of the values of that culture. How are they different from or similar to the values discussion from our chapter? Facebook, a social networking site, had norms, languages, gestures, values, behaviors, material objects, and beliefs that any other culture would have. A belief on Facebook is that the more friends, likes, comments, or posts you have, the more popular you are. When and…

For my company AutoZone which is my left hand side I will be using 36 observations found from revenue 2006 to 2015 quarterly. The purposes for the regression analysis is to see if data has problems, test to make sure for the problem by visually and statistically, see the consequences for the problem, fixes that are available, and finally fix the problem to get better result in forecasting. Next using the BLUE which is minimizes the sum of square errors. This is a fitting the curve or ordinary…

The Problem and Purpose of this study The purpose of the study is to find out how different types and combinations of interpersonal violence relate to a women’s mental health status. This study focuses on how how experiences with sexual assault, physical assault, and witnessing a serious injury or death throughout a woman’s life are associated with increased problems of mental health issues and substance abuse problems. This study addressing an experience of one aspect of interpersonal…

Cumulative prospect theory ( cpt) Introduction Cumulative prospect theory (CPT) is a model for descriptive decisions under risk and crisis which was introduced by Amos Tversky and Daniel Kahneman in 1992 (Tversky, Kahneman, 1992). It is a further development and variant of prospect theory. The difference between this version and the original version of prospect theory is that weighting is applied to the cumulative probability distribution function, as in rank-dependent expected utility theory…

1. What are the differences between Ultrawide and Standard Monitors? Look, the fundamental difference between an ultrawide monitor and a regular monitor is the aspect ratio. Unlike the standard 16:9 aspect ratio, an ultrawide monitor has a wider 21:9 aspect ratio. This extra screen space helps you to manage multiple windows at the same time with ease. Also, ultrawide monitors are usually bigger than regular displays (29”, 34” and 38”) so you’ll see more data on the screen. The other…

Part e1. In 1973, Fisher Black and Myron Scholes developed the Black-Scholdes option pricing model (OPM). What assumptions underlie the OPM? Answer. There are several assumptions underlying the OPM. First, the stock underlying the call option provides no dividends or other distributions during the life of the option. Second, there are no transaction costs for buying or selling either the stock or the option. Third, the short-term, risk-free interest rate is known and is constant during the life…

Equation of trendline 1 calculation: m= rise/run = 12/15 = 0.8 c= 5.9 y= 0.8x + 5.9 Equation of trendline 2 calculation: m= rise/run = 25/45 = 0.5 c= 17.6 y= 0.5x +17.6 Point of intersection: Equate both trendlines to find point of intersection 0.8x + 5.9 = 0.5x + 17.6 x= 39 Since x=39, x2= 9 as x2 represents x in descending order. R2: R2 for trendline 1 = 0.98 Correlation coefficient for trendline 1= 0.96 R2 for trendline 2 = 0.98 Correlation coefficient for trendline 2= -0.99 Ratio…

In the 1940s, Raymond Cattell was able to take Allport’s 4000 traits and boil it down through factor analysis. Factor analysis refers to the mathematical consolidation of commonly appearing variables and the summarising of correlating data. He used factor analysis to eliminate synonyms and the very rare or unused traits (Friedman & Schustack, 2014). Cattell was able to reduce the list of traits from over 4000 to 16 personality variables. This reduction in personality variables was attributed to…

association is based on the strength of the linear relationship in the degree of monotonicity. To the degree that it is based on counting various pairs in a relationship. Known as a statistical tool that investigates relationships among variables, regression analysis seeks to determine the unintended effect of one variable to another. This is typically a relationship between the dependent variable and one or more independent variables.…