1 Executive Summary

The report aims to explore two research prompts;The co-relation between public speaking and socializing and Do frequent smokers and drinkers exhibit a lack of control of their anger? The first prompt delves into the connection between public speaking and socializing, both very similar at first glance, but differing in contexts and skill. This report outlines the the individuals’ preferences for public speaking and socializing and whether one encourages or discourages the other. It is well known that alcohol and smoking can prove disastrous to cognitive thinking, the aim of the second question is to investigate further into human behavior and seek patterns between excessive drinking and smoking, and the ability to control one’s anger. Lastly, the report will provide justification for the aquired data and consequent analysis, thereby proving the validity of the inferences and observations made.

2 Full Report

2.1 Initial Data Analysis (IDA)

The data is sourced from kaggle.com which provides free data sets under various categories. The particular data set chosen for this study reports on the references, interests, habits, opinions, and fears of young people of the Statistics class at FSEV UK. It features 150 variables which give valuable insights into youth lifestyle and can form the basis to numerous research questions. The data set has been used in past research paper to predict behavioral clusters and thus can accumulate credibility. The variables of interest in this report are Drinking, Smoking, I can get angry very easily, Public Speaking and Socializing. The persons partaking in the survey answer to each variable using a scale that measures the frequency of the action performed or their agreement with the idea, depending on the variable. Socializing goes from a scale of 1-5 with 1 being not interested and 5 being Very interested. public speaking has the same scale but with the numbers identifying the level of fear with 1 being not afraid at all and 5 being very afraid. Smoking has to be changed from categorical data to quantitative by assigning values to the answers. Never smoked -1 Tried smoking - 2 Former smoker - 3 Current smoker-4. Drinking had only 3 categories that needed to be converted; Never -1 Social drinker - 2 Drink a lot -3. Lastly, getting angry easily was answered from a poor of 1-5 with 1 being strongly disagree and 5 being strongly agree. Some potential issues were the missing answers for some variables, which were taken out, and the qualitative nature of the data. It is useful in predicting the behavioral patterns of youth, potentially pinpointing common issues and struggles they face with development. The government can use the data to increase the quality of life for young people, strengthening the future of the country. Furthermore, companies can use this data for marketing purposes to sell their product, boosting sales and helping the economy thrive.


2.2 Research Question 1

The co-relation between public speaking and socializing.

data1=read.csv("Book1.csv")
plot(data1$Public.speaking,data1$Socializing,xlab="Public Speaking",ylab="Socializing", main="Linear Regression of Public Speaking vs Socializing")
results <- lm(Socializing ~ Public.speaking, data=data1)
abline(results,col="red")

Summary: The data used was split into 2 columns. The columns were Public speaking and Socialising. The data was collected from over 1000 individuals between the ages 18-25. The linear regression plot shows us that the more the number of people socialise , the lesser number of people indulge in public speaking. This trend was unexpected as one would expect both public speaking and socialising to go hand in hand. Socializing is the action or practice of participating in social activities or mixing socially with others. While socializing an individual can choose the group of people or individual he/she might want to interact with. There is no fear of being judged and an individual is their comfort space. Public speaking on the other-hand is interacting with the public. The individual may or may not know the crowd he/she is interacting with. Hence even though most people are socially active they might not indulge in public speaking. The graph plotted with data collected from fewer individuals would have a different result . A more conclusive result would have been procured if the data was collected from students who know each other or study in the same university.


## Research Question 2 Do smokers and drinkers exhibit a lack of control of their anger?

Data4=read.csv("Data4.csv")
SK=Data4$Smoking
AL=Data4$Alcohol
GA=Data4$Getting.angry
cor(SK, GA)
## [1] 0.06826182
lm(GA ~ SK)
## 
## Call:
## lm(formula = GA ~ SK)
## 
## Coefficients:
## (Intercept)           SK  
##     2.80724      0.07885
plot(SK,GA, xlab="SK AQI(x)", ylab="GA AQI(y)", main="Linear Regression of SK vs GA")
abline(lm(GA ~ SK), col="red")

cor(AL, GA)
## [1] 0.02799296
lm(GA ~ AL)
## 
## Call:
## lm(formula = GA ~ AL)
## 
## Coefficients:
## (Intercept)           AL  
##     2.89253      0.05696
plot(AL,GA, xlab="AL AQI(x)", ylab="GA AQI(y)", main="Linear Regression of AL vs GA")
abline(lm(GA ~ AL), col="red")

data5=read.csv("data4.csv")
library(scatterplot3d) 
scatterplot3d(data5[1:3], angle=60)

Summary:

At we can see two of regression lines, both of them have not a strong correlation to getting angry. However, this do not means that drinking Alcohol and smoking do not definitely relate to getting angry. Research shows that emotional response can be triggered by alcohol by the numbers of risk of factor.For example, the rate of male getting anger is higher than that of female. In addition, the personality of sensation-thinking is a important factor of getting angry. (John C. Umhau, MD, MPH, CPE) Both of them are the confounding factor, which affects the result.

Alcohol and nicotine can have various effects on the cognitive systems, which points to a correlation between aggression and overuse of drugs. Smoking can aggravate the body’s response to alcohol and vice versa which is why it is common to see people use both to stimulate their sensory responses. Thus, the combination of the two could worsen a person’s grasp of their emotion, contributing to anger issues and aggressive responses to situations. The three graphs above explore these questions by analysing answers that document the responder’s degree of interaction with the subject on a scale of numbers. Looking at the first linear regression plotting smoking against anger, there is a pattern of increasing anger as the frequency of smoking also increases. This positive correlation confirms the hypothesised connection between nicotine and anger. Even smokers that do not engage often are found to be in the mid-range, whilst those that smoke often tend to feel anger easily. This is probably due to nicotine cravings that can cause irritable behavior. This also indicates that those who are in the process of quitting or have quit can experience extreme emotions due to withdrawal symptoms.Similarly, the graph showcasing the link between alcohol and anger shows a similar positive correlation that affirms the question. As individuals consume alcohol regularly, there is a slight increase in their tendency to get angry and therefore reinstates the effect of drugs on cognitive thinking. Alcohol can impede ones ability to be rational and exercise self control, and those that drink regularly can expect to see their grasp on their behavior begin to slip, causing unexpected and violent episodes of anger and violence. Finally, the 3D scatter plot analyses the three variables together. It can be seen that the majority of the points cluster in the middle, which would indicate that most individuals consume alcohol and smoke at mid-levels. This is to be expected as most individuals would control their consumption and only outliers and the few extremes to be seen fall victim to the adverse effects of misuse and overconsumption.

After analysing the data, there is an emerging trend where the individual consuming more than average amount of alcohol and nicotine experience anger more often. A far more pronounced result can be procured by conducting a survey focusing on individuals who consume alcohol AND smoke at varying degrees and then analysing their behavioral patterns.