Regression Analysis Jobs

I’m working through a statistics assignment that must be solved and documented entirely in Excel, and I’d like a skilled tutor to guide me through it. The questions cover core undergraduate material—think probability concepts, simple regression, and hypothesis tests—yet everything has to be demonstrated with the appropriate Excel techniques (e.g., built-in formulas, manual calculations set up in the sheet, charts where useful). Here’s what I need from you: • A clear, walk-through solution for each problem inside one workbook, with explanatory notes that make the reasoning easy to follow. • A brief call or chat after delivery so I can be sure I understand every step and can replicate the method on future assignments. When you respond, highli...

I need assistance with multiple regression analysis using JASP. The data is from a survey and involves an ordinal dependent variable with 3-5 independent variables. Requirements: - Proficiency in JASP - Experience with multiple regression analysis - Ability to interpret and present results clearly Ideal Skills: - Statistical analysis expertise - Familiarity with survey data - Strong analytical skills Please provide a sample of similar work done.

I am preparing a quantitative study on “Inequality in participation versus visibility in online communities” . The raw material will come from one or more publicly-available Kaggle datasets; the challenge is to turn those data into a coherent, publication-level research project. Here is what I need from you: • Help me locate or combine the right Kaggle datasets, then document the download and preprocessing steps (Kaggle API, Python pandas, or R tidyverse are fine). • Define robust operational metrics for participation (e.g., post frequency, comment depth) and visibility (e.g., up-votes, follower counts, ranking on leaderboards). • Build the analysis pipeline—cleaning scripts, exploratory statistics, and the main inferential models (regression, GEE, or...

? HAGO Contest #2 – April ? For data scientists and analytics enthusiasts, we present a new challenge with Amazon sales dataset. ? Tasks: Explore the dataset in depth Analyze patterns and trends Build a predictive model using Python Submit results in a PDF file within our private community ? Prize: The winner receives $15 USD for the best analysis and prediction ? Don’t forget to join the IFAI Contest for future forecasting, where the winner earns $10 USD. ✨ Tips to increase your chances of winning: Make your analysis comprehensive yet easy to understand Add clear and insightful visualizations Focus on prediction accuracy and creative ideas

Am nevoie de ajutor pentru realizarea partii practice a unei lucrari de licenta cu tema “Analiza tehnica a profitabilitatii pietelor financiare actuale” - analiza tehnica indicatori + regresie (Excel/SPSS) – suport complet Buget flexibil in functie de experienta si calitatea livrarii Accentul este pe calculul si interpretarea indicatorilor tehnici folosind date reale (Excel), precum si pe dezvoltarea unei analize de regresie si integrarea acesteia in lucrare (inclusiv anexe). Exista deja materiale primite de la profesor (carti si indicatori recomandati), insa am nevoie de suport pentru implementarea corecta a formulelor, structurarea analizei si explicarea rezultatelor. Caut o persoana cu experienta in domeniul financiar/economic, care poate lucra organizat si poate e...

我手上有一份来自模拟的曲线数据，需要你用神经网络把它拟合成一条可直接调用的经验公式，并确保任意数据点的误差率都控制在 5% 以内。网络架构我还没有想法，期待你根据数据特点给出专业建议。 核心工作流程 1. 数据理解与预处理 • 读取并检视我提供的专用数据集（文件将随项目开始共享）。 • 做必要的归一化、划分训练/验证/测试集，并说明理由。 2. 网络设计与训练 • 结合曲线特征提出1–2套候选架构（如全连接网络、CNN、Transformer 等），解释选择依据。 • 用常见框架（Python + PyTorch 或 TensorFlow 均可）实现并训练；包含超参数调优与早停策略。 3. 误差评估与公式提取 • 给出完整的误差分析，逐点列出相对误差，确保全部 ≤5%。 • 将最佳模型转化为可复现的数学/代码形式： - 明确公式、系数与激活函数。 - 提供 Python 函数示例，方便直接调用。 4. 交付物 • 可执行源码与依赖清单。 • 训练日志、可视化结果（loss 曲线、散点图对比）。 • 技术报告：数据处理、模型架构、实验参数、误差验证、最终经验公式。 • 一键复现实验脚本或 Jupyter Notebook。 验收标准 - 全数据集点对点误差 ≤5%。 - 代码在常规 GPU/CPU 环境下即可运行，无缺失依赖。 - 报告内容完整、条理清晰，步骤可追溯。 如果你对曲线拟合、深度学习或函数提取有成熟经验，请展示相关案例或 GitHub 链接，让我更快锁定合适的人选。