Publications by Group_Project: Venkata Naga Vamsidhar reddy karasani(vkara4), Anila Cheekati(vchee3), Venkata sai ram tirunagari(Vtiru5) , Pradeep kumar Naidu(Pnaid2), Simhadri Ramanjaneyulu(rsimh3), Subhalaxmi Rout(srout2)
DATA 605 Discussion 9
Exercise - 1, Page - 338, Section - 9.1 \((1)\) Let \(S_100\) be the number of heads that turn up in 100 tosses of a fair coin. Use the Central Limit Theorem to estimate \((a)\) P(\(S_100\) <= 45) Answer Note: refer Z-table for z-values n = 100 p = \(\frac{1}{2}\) q = \(\frac{1}{2}\) P(\(S_100\) <= 45) \(\sqrt{npq} = \sqrt{100 * 1/2 * 1/2} = ...
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DATA 605 Assignment 9
1. The price of one share of stock in the Pilsdorff Beer Company (see Exercise 8.2.12) is given by Yn on the nth day of the year. Finn observes that the differences Xn = Yn+1 - Yn appear to be independent random variables with a common distribution having mean \(\mu\) = 0 and variance \(\sigma ^ 2\) = 1/4. If Y1 = 100, estimate the probability th...
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Final Project
Final Project Matthew Baker, Don Padmaperuma, Subhalaxmi Rout, Erinda Budo 2020-12-14 Abstract HR Analytics finds out the people-related trends in the data and helps the HR Department take the appropriate steps to keep the organization running smoothly and profitably. Attrition is a corporate setup is one of the complex challenges that the peopl...
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Final Exam
Final Exam Subhalaxmi Rout 2020-12-10 YouTube Link: https://www.youtube.com/watch?v=j2gvoJzzr40&t=7s Problem 1. Using R, generate a random variable X that has 10,000 random uniform numbers from 1 to N, where N can be any number of your choosing greater than or equal to 6. Then generate a random variable Y that has 10,000 random normal n...
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Multiple Linear Regression
Multiple Linear Regression Analysis Subhalaxmi Rout 12/20/2020 Multiple Linear Regression Regression models are used to describe relationships between variables by fitting a line to the observed data. Regression allows to estimate how a dependent variable changes as the independent variable(s) change. What is multiple linear regression? Multipl...
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Blog 2
Linear Regression Analysis Subhalaxmi Rout 12/20/2020 What is Linear Regression ? Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data.One variable is considered to be an explanatory variable(X), and the other is considered to be a dependent variable(Y).Linear regression plots o...
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DATA 605 Assign 15
SRout Assign 15 Subhalaxmi Rout 2020-11-27 1. Find the equation of the regression line for the given points. Round any final values to the nearest hundredth, if necessary. ( 5.6, 8.8 ), ( 6.3, 12.4 ), ( 7, 14.8 ), ( 7.7, 18.2 ), ( 8.4, 20.8 ) Solution x <- c(5.6,6.3, 7, 7.7, 8.4) y <- c(8.8, 12.4, 14.8, 18.2, 20.8) data <- as.data.frame(cbi...
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DATA 605 Assignment 14
SRout Assign 14 11/25/2020 This week, we’ll work out some Taylor Series expansions of popular functions. 1. f(x) = \(\frac {1}{1-x}\) Solution \[f(x) = \frac {1}{1-x}\] Formula for a Taylor Series Expansion: \[f(x) = \sum_{n=0} ^ {\infty} \frac {f^{(n)}(a)}{n!} (x - a) ^ {n}\] \[f(x)= f(a) + f'(a)(x-a) + \frac {f''(a)}{2!}(x-a)^2 + \frac {...
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DATA 621 - Homework 4
Homework4 Matthew Baker, Don Padmaperuma, Subhalaxmi Rout, Erinda Budo 11/22/2020 Overview In this homework assignment, we will explore, analyze and model a data set containing approximately 8000 records representing a customer at an auto insurance company. Each record has two response variables. The first response variable, TARGET_FLAG, is a 1 ...
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DATA 605 - Discussion 13
Discussion 13 - Multiple Regression Problem Statement Using R, build a multiple regression model for data that interests you. Include in this model at least one quadratic term, one dichotomous term, and one dichotomous vs. quantitative interaction term. Interpret all coefficients. Conduct residual analysis. Was the linear model appropriate? Why...
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