Publications by Karol Orozco
DISCRIMINATION-ASSIGMENT
Instal and load packages library(tidyverse) ## -- Attaching packages ---------------------------------------------------------------------------------- tidyverse 1.3.0 -- ## v ggplot2 3.3.2 v purrr 0.3.4 ## v tibble 3.0.3 v dplyr 1.0.2 ## v tidyr 1.1.2 v stringr 1.4.0 ## v readr 1.3.1 v forcats 0.5.0 ## -- Confl...
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DISCRIMINATION
Instal and load packages library(tidyverse) ## -- Attaching packages ---------------------------------------------------------------------------------- tidyverse 1.3.0 -- ## v ggplot2 3.3.2 v purrr 0.3.4 ## v tibble 3.0.3 v dplyr 1.0.2 ## v tidyr 1.1.2 v stringr 1.4.0 ## v readr 1.3.1 v forcats 0.5.0 ## -- Confl...
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STEP BY STEP
Instal and load packages library(tidyverse) ## -- Attaching packages ------------------------------------- tidyverse 1.3.0 -- ## v ggplot2 3.3.2 v purrr 0.3.4 ## v tibble 3.0.3 v dplyr 1.0.2 ## v tidyr 1.1.2 v stringr 1.4.0 ## v readr 1.3.1 v forcats 0.5.0 ## -- Conflicts ----------------------------------------...
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A Natural Gas Problem
A Natural Gas Problem Karol M. Orozco 10/14/2020 ls() ## [1] "Experts" "Forecast" "Newspapers" Let’s Start Find the plus/minus z [the values of x below] such that the area in red is exactly equal to 0.6827, as shown below. Equivalently, the central probability in a standard normal distribution between -1 and 1 is 0.6827. result <- prob...
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Marks and Spencer Midterm: Chicken Ready Meals
Marks and Spencer Midterm: Chicken Ready Meals Karol M. Orozco 10/20/2020 Answer the following questions by yourself in as much detail as possible. Partial credit will be awarded in the event that the reasoning is sufficiently clear to uncover the parts of a question correctly answered; be systematic in solving the problems. This will always tak...
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KarolOrozcoRedlining
GSMPR 622: Redlining Your role is as an investigator for the UCCR attempting to use these data to compile evidence of redlining. The core piece of evidence will come down to whether or not race is related to demand for new FAIR plan policies and renewals per 100 housing units by zip code because there is no logical reason that race would be relat...
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Airline Costs
Background: We will examine data on airline costs. The following data were originally presented in the classic study by Proctor and Duncan. It is worth noting there is also a variable representing the Total asses of the airline and a variable representing the Type of airline though we will not use them in the regression modeling. 1.Suppose that (...
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Document
Background: We will examine data on airline costs. The following data were originally presented in the classic study by Proctor and Duncan. It is worth noting there is also a variable representing the Total asses of the airline and a variable representing the Type of airline though we will not use them in the regression modeling. 1.Suppose that (...
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Document
Your report title result <- regress( Ebooks, rvar = "Age", evar = c( "Item", "Gender", "AverageHouseholdIncome", "ZipCode", "Audience", "LendingPeriod", "BorrowedFrom" ) ) summary( result, sum_check = c("rmse", "sumsquares", "vif", "confint") ) Linear regression (OLS) Data : Ebooks Response variable...
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Document-fp1
Multnomah County Library Circulation Statistics Karol Orozco & Beth Swanson 12/10/2020 Section 1: Executive Summary Portland is the 10th fastest-growing metropolitan area in the United States with increases of 1.8% per year over the past ten years. It’s library system, the Multnomah County Library (MCL) seeks to support this expanding populati...
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