Excel/Data Expert: Multiple Regression Model

I'm working on a quantitative research project involving household survey data and am seeking statistical consulting support. · The dataset (Excel format) includes approximately 100 observations with variables such as income, food expenditure, family size, education level, and ge ...

I need tutoring and support in developing regression models for my culminating DBA research project. · ...

Looking for someone with experience and expertise in R and running regression models and interpreting the results clearly. They also need to be experienced in merging datasets to develop panels for regression analysis. Strong communication skills in English are essential. This wo ...

I am seeking a detail-oriented Data Analyst or Econometrician to conduct a comprehensive statistical analysis of a household dataset. The project involves analyzing a sample of 100 households (from a population of 500) to understand the relationships between Weekly Income (WI), F ...

Perform basic data analysis and build a linear regression model. · Generate data points for a suitable problem in the healthcare domain with specific requirements. · ...

A Python script is needed to fix an issue with data cleaning in Pandas before fitting a Linear Regression model on the 'King County House Sales' dataset. · Fix the Pandas dataframe errors. · Ensure the regression model runs and outputs the accuracy score. · ...

We are seeking an experienced Applied Financial Data Scientist to develop a Risk Scoring Model focused on finance, econometrics and credit-style modeling. The ideal candidate will have a solid understanding of credit-style modeling and be able to analyze financial data effectivel ...

I need an experienced statistical analyst to independently validate my regression analysis and recreate all models in Excel for use in an academic paper.You will work with two datasets (limited + extended) and: · Replicate descriptive stats (means, SDs, counts) · Run Welch t-test ...

Build a Data Intelligence Engine with four core capabilities: data cleaning & normalization, product & category classification, outlier detection & regression safety layer, analytics & dashboard layer. · NLP Tokenization · Statistical modeling · Cloud data warehouses · Java ...

In addition, one of the hypothesized structural paths has produced a non-significant result, although it was theoretically expected to be significant. The study model consists of two independent variables, one mediator, one moderator, and one dependent variable. · Contract durati ...

· ...

We are seeking a Machine Learning Engineer to develop a forecasting system that predicts future market efficiency in Saudi Arabia using machine learning models. ...

I am looking for an experienced biostatistician to perform statistical analyses on thrombin generation parameters in relation to clinical outcomes in sickle cell disease. · ...

I am looking for an experienced tutor/instructor in Financial Econometrics & Inference to teach a university-level course with a strong focus on practical application using STATA. · ...

We are seeking a detail-oriented Data Analyst for a multi-phase project involving the normalization of data for approximately 600 facilities. · The goal is to create a Single Source of Truth by merging multiple datasets and building a predictive model to estimate potential capaci ...

Design and implement machine learning models for predictive analytics and AI applications. · ...

ML engineer with experience in traditional and generative AI and expertise in Python. · ...

We need a data scientist to build a model that predicts future lead values better than our legacy formula. You will work with our domain expert and team to access data, prepare datasets, choose model and deploy. · ...

a quantitative data scientist to build a pre-match soccer value-scanning system focused on probabilistic modeling and Expected Value (EV) detection. Pull prematch odds from sharp sources (e.g., Pinnacle or sharp market average) · Build probabilistic models (Poisson / Dixon-Coles ...

Raison d'être : · Développer et implanter des modèles d'analyse de données visant à optimiser nos processus, en analysant un volume important de données historiques afin d'identifier les métriques déterminantes et de développer des modèles prédictifs permettant d'améliorer l'effi ...