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 Assign 12
Data Desciption The attached who.csv dataset contains real-world data from 2008. The variables included follow. Country: name of the country LifeExp: average life expectancy for the country in years InfantSurvival: proportion of those surviving to one year or more Under5Survival: proportion of those surviving to five years or more TBFree: propor...
3874 sym R (6268 sym/32 pcs) 8 img
DATA 605 Discussion 12
Question Using R, build a regression model for data that interests you. Conduct residual analysis. Was the linear model appropriate? Why or why not? What is residuals? The residual data of the simple linear regression model is the difference between the observed data of the dependent variable y and the fitted values \(\hat y\). The residuals f...
2036 sym R (2407 sym/18 pcs) 6 img
DATA 605 Discussion 11
Salary of employees based on their Years of working experience. Download the dataset from kaggle using below link. https://www.kaggle.com/karthickveerakumar/salary-data-simple-linear-regression There are only two columns in the dataset i.e YearsExperience and Salary. Both column type is double. The Shape of the DataSet is 30*2. There are 30 rows...
1720 sym R (1691 sym/14 pcs) 5 img
DATA 605 Assignment 10
Smith is in jail and has 1 dollar; he can get out on bail if he has 8 dollars. A guard agrees to make a series of bets with him. If Smith bets A dollars, he wins A dollars with probability .4 and loses A dollars with probability .6. Find the probability that he wins 8 dollars before losing all of his money if he bets 1 dollar each time (timid ...
1507 sym R (149 sym/4 pcs)
DATA 605 assignment 11
Instruction Using the “cars” dataset in R, build a linear model for stopping distance as a function of speed and replicate the analysis of your textbook chapter 3 (visualization, quality evaluation of the model, and residual analysis.) Steps to follow: Visualize the Data The Linear Model Function Evaluating the Quality of the Model Residual...
4821 sym R (1952 sym/21 pcs) 4 img
DATA 621 - Abstract
Abstarct 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 people managers and the HRs personnel have to deal with it. In this research assignment, we ...
2077 sym R (9011 sym/14 pcs) 1 img
Home Work 4
HW 4 Matthew Baker, Erinda Budo, Don Padmaperuma, Subhalaxmi Rout 11/21/2020 OVERVIEW In this homework assignment, you 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 or a...
1161 sym 1 img
DATA 605 - Assignment 13
SRout Assignment 13 1. Use integration by substitution to solve the integral below. \[ \int{4e^{-7x}dx}\] Solution Note: \(\int{e^u du} = e^u\) \[ \int{4e^{-7x}dx}\] Lets v = -7x dv = dx substitute this below: \[ \int{4e^{-7x}dx} = 4\int{e^{v}dv} = {4}e^{v} + C = -\frac{4}{7}e^{-7x} + C \] 2. Biologists are treating a pond contaminated with...
3054 sym R (559 sym/10 pcs) 3 img
Discussion 14
SRout Discussion 14 The roots of f(x) are known or are easily found. Use 5 iterations of Newton’s Method with the given initial approximation to approximate the root. Compare it to the known value of the root. f(x) = x2 + x - 2, x0 = 0 Solution f(x) = x2 + x - 2, x0 = 0 f’(x) = 2x + 1 \[x1 = x0 - \frac {f(1)} {f ′(1)} = 0 - \frac {x^2 + ...
1143 sym R (248 sym/1 pcs)
Discussion - 15
Discussion 15 Subhalaxmi Rout 2020-11-27 Gives the nth term of the Taylor series of common functions. Verify the formula given in the Key Idea by finding the first few terms of the Taylor series of the given function and identifying a pattern. 4. f(x) = sin x; c = 0 Solution Formula for a Taylor Series Expansion: \[f(x) = \sum_{n=0} ^ {\in...
1172 sym R (118 sym/2 pcs)