Category: R

Apply the logistic regression models we have reviewed in class, including Multiple Logistic Regression, Stepwise Variable Selection, and LASSO, to analyze a dataset of credit card. Please download the following three files to get started The report template where you will paste your screenshots and written answers The starter R script to help you organize…

Question 1 The data contained in smokers.csv reports the findings of Spilich, June, and Renner (1992), who asked nonsmokers (NS), smokers who had delayed smoking for three hours (DS), and smokers who were actively smoking (AS) to perform a pattern recognition task in which they had to locate a target on a screen. The dependent…

ECON253: Data Analysis IReport Assignment : Part 1 You need to complete the data analysis for the designated city. will shrae allocated data set

Files/questions attached. R Script required.

Question 1 Some archaeologists theorize that ancient Egyptians interbred with several different immigrant populations over thousands of years. To see if there is any indication of changes in body structure that might have resulted, they measured skulls of male Egyptians from 5 different epochs. Thomson and Randall-Maciver, Ancient Races of the Thebaid, Oxford: Oxford University…

Question 1 Some archaeologists theorize that ancient Egyptians interbred with several different immigrant populations over thousands of years. To see if there is any indication of changes in body structure that might have resulted, they measured skulls of male Egyptians from 5 different epochs. Thomson and Randall-Maciver, Ancient Races of the Thebaid, Oxford: Oxford University…

I HAVE SOLVED THIS ASSIGMENT I JUST NEED SOMEONE TO CHECK IT OUT he data contained in lake.csv will now be used to create an OLS model with two predictors. Recall that the outcome the research was interested in was TN. Remove outliers from the data. List the outliers (i.e., data rows) that have been…

The table below displays catalog-spending data for the first few of 200 randomly selected individuals from a very large (over 20,000 households) data base.1 The variable of particular interest is catalog spending as measured by the Spending Ratio (SpendRat). All of the catalog variables are represented by indicator variables; either the consumer bought and the…

Apply the linear regression models including Multiple Linear Regression, Stepwise Variable Selection, and LASSO, to analyze a dataset of Major League Baseball player statistics and predict their salaries. View the three files to get started: Assignment and dataset The report template where you will paste your screenshots and written answers The starter R script to…

Data Mining / RStudio: Topic: Linear Regression, Shrinkage Regression Shrinkage Regression (Ridge Regression and LASSO Regression). Variable Selection using LASSO. Obtain the optimal tuning parameter through Cross Validation. Aimed outcomes: Explain the difference in objective function between Ridge Regression and LASSO Regression. Understand why LASSO can be used for variable selection. Conduct cross-validation to obtain…