# Multiple regression project jobs

I need somebody who can collec...1. Explain the data collection and Analysis type
2. Demographic profiles
3. normality test
4. Reliability Test
5. Data Distribution
6. Pearsons Correlation Analysis
7. **Regression** Analysis
8. Summary of Key Findings
2000-2500 words with references.
Should collect data from 100 participants at least. I will pay 80$

**Project**: II (Item Inspector)
Client: Anthem BCBS
Team size: 5
Role: Automation Test Engineer
II (Item Inspector) is a Web based application, the main aim of this application is whatever the claim processed or the total amount reimbursed to all policy holder in a day that should be in a particular format of CMS,

I am doing a PhD thesis and need to analyze my data data set using Beta- **Regression** using R Software

...which are skipping over to many details for me. :-)
Your first job would be to explain how to use the Taylor expansion to form a
quadratic approximation of the logistic **regression** log-likelihood in order to
derive a iterative re-weighted least squares algorithm.
More precisely I need the intermediate steps from from eq. 14 to
eq. 15. [0].
The reason

I need a data analyst who can use Microsoft Excel to analyze my data and give me answers.
Have attached the file. PLEASE BID ONLY IF YOU CAN DO IT.
You have to be fa...analyst who can use Microsoft Excel to analyze my data and give me answers.
Have attached the file. PLEASE BID ONLY IF YOU CAN DO IT.
You have to be familiar with linear **regression**.

Set 1) **Project** Management
product lifecycle management
marketing management
product development
product marketing
new product development
marketing
new product development process
product development process
marketing management definition
product strategy
**project** management definition
product manager job description
product
Set 2) Agile
agile
scrum

Need this to be done in 24 hours A company has had a growing problem with increasing customer defections above industry average. The churn issue is most acute in the SME division and thus they want it to be the first priority. Predict the customers which are most likely to churn. Task: Find the churn issue Build the model and suggest actions Data provided: Training model – dat...

...new QA process for a new product we're launching.
We will develop most of the test cases, but need a QA engineer that can write and manage a suite of tests that include **regression** tests, functional tests, and performance tests mostly within Katalon Studio and Jmeter. There is also opportunity to develop tests for our APIs by developing small web pages

Task: Find the churn issue Build the model and suggest actions Data provided: Training model – dataset which includes features of SME customers in Jan 2016, as well as the info about whether or not they have churned by Mar 2016. The prices from 2015 for these customers. How: Use the trained model to “score” customers in the verification data set (provided in the file...

...for houses. Here, machine learning algorithms such as logistic **regression** and support vector **regression**, Lasso **Regression** technique and Decision Tree are employed to build a predictive model. We have considered housing data of 3000 properties. Logistic **Regression**, SVM, Lasso **Regression** and Decision Tree show the R-squared value of 0.98, 0.96,0.81 and

...model for the Prediction of Hospital admission from the emergency department.
Practical Implementation of the models of different machine learning algorithm like Logistic **Regression**,Decision Tree and Gradient Boosted Machine Algorithms and comparing there performance based on Accuracy and AUC-ROC curve.
All these algorithms are implemented in the

...Summary analysis Part 1 deadline is September 15th & Part 2 - Full Report deadline is September 22nd
Part 1: Salary Summary – provide descriptive statistics, complete **regression** analysis and correlation analysis (i.e., compensation relationship of pay level by experience to industry)
Part 2: Full Salary Report – Interpret survey results to make

i need someone to do the prediction of one out of 37 components from a company. The historic data will be provided...components from a company. The historic data will be provided. There are a number of tasks i will require from the freelancers. To some them up.
Data Exploration and Cleaning
**Regression** Modelling
Model Comparison
Decision Tree Modelling

Hello
I need **Regression** analysis and commentary about gold and T-bill.
I will send you what I have done for equity and bonds and I need to do the same about Gold and Cash (3 months Tbill)
So I have done a **Regression** analysis for return of equity values, real prices from nominal (in GDP variable) and the last SPReturn includes dividends reinvested

I'm looking for someone with excellent knowledge in running and analyzing the hierarchy **regression** using moderator (interaction) in STATA. Nature of the data is "panel data" in banking industry.

build python code for logistic **regression**

Hi Furqan A., I noticed your profile and would like to offer you my **project**. We can discuss any details over
hierarchy **regression**
And moderator analysis

...sometimes not (after changes published). I want to have a automated test suite created with test cases so before/after minor changes published I can run the test suite to do a **regression** test.
[login to view URL]
This can be created using Appium or any other test suite suggested by you.
As deliverables:
* Documentation

Visualisation
Logistic **regression**
Bayesian logistic **regression**

Can use Eviews and understand the linear **regression** model then combine them together to analyze data

I need a literature review including the types of statistical tools and methods to be specified. Description and research methodology using each type of analysis methods are required. And the application of these methods using SPSS.

Need to work on data extraction, calculation, **regression** and represententation

it's a social sciences **project**, using Qualtrics data, so essentially it's crunching surveys for a Cog Sci **project**. It requires basic logistic **regression** analyses, and mediator/moderator values to be established. There are 3-4 simple projects, each with basic demographics, but primary focus is a binary logistic **regression**

..."Statlog (Heart) Data Set" from [login to view URL]
4 different algorithms :
1. Multilayer Perceptron Network
2. The Naïve Bayes classifier
3. Classification and **Regression** Trees (CART).
4. k-Nearest Neighbors (kNN).
A. For every algorithm use 10-fold crossvalidation to estimate accuracy.
B. Visualize Dataset with Multivariate Plots and look

Build ml model using Python
Experience of Python environment and libraries such as keras, tensorflow, sckit-learn, nltk, pandas
Knowledge of **regression**, classification, supervised, unsupervised, reinforcement learning
Knowledge of data extraction, visualization and presentation
Experience of Spark, R, Scala is plus

...(scikit, nltk, pandas and numpy). Working knowledge of R & Spark is a plus.
Proven experience of solving complex business problems using Machine Learning techniques like **Regression**, Classification, Supervized or Unsupervized Recommenders, Deep iterative learning, Neural Nets etc.
Deep knowledge of Statistics and Maths and ability to dissect problems

...professional with at least 5 years of experience working across Analytics & Machine Learning domain.
Proficiency in machine learning and data mining techniques, Feature engineering, **regression**, classification, clustering, time series analysis etc.
Extensive experience in Data Analysis - Skilled in uncovering insights and identifying patterns.
Proven experience

I have a **regression** eqn, where all variables(dependent and explanatory) enter in first differences except one explanatory variable,
where I need to show the contribution of each explanatory variable to dependent variable in levels.
There is a solution to interpret the coefficients back in levels like this:
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I need someone preferably who knows marketing analytics to help me to use **regression** to analyze customer survey

Based on prior matlab code, extract different data sets and do **regression** for data extraction

need someone familiar with anova and linear **regression** and be able to do both in JMP. Have some case studies and consulting work I need done.

I see that you are familiar with ANOVA, are you also familiar with Linear **Regression**?
I need **multiple** case studies developed using JMP, are you strong with JMP?

Are you familiar with ANOVA/Linear **Regression** using JMP?

testing includes **regression**,SIT,UAT. I'm working in a healthcare background we will be working on data mostly, tools that we use - sql developer,jira,FACETS.
Reach me out at [Removed by Freelancer.com Admin] on watsapp and w can talk more. Thank you.

testing includes **regression**,SIT,UAT. I'm working in a healthcare background we will be working on data mostly, tools that we use - sql developer,jira,FACETS.
Reach me out at [Removed by Freelancer.com Admin] on watsapp and w can talk more. Thank you.

Need you to create a work sample using SAS (using some data sets)
ie, get some data, run a linear **regression** on data, get the SAS report

heading will be
Introduction
Literature review
Research Methodology...qualitative and quantitative
Topics:
Islamic Banking
- Risk Assessment Models on modelling liquidity risks
- Proficiency in banking regulations
- Risk Management Risks
- **Regression** knowledge
- How bank use models to perform risk management
note no plagiarism not even references

Need to program, otherwise, too much work. Make plots and clean data and **regression**.

I need help with analysis of statistics datasets, using **regression** models, confounding, effect modification, time series analysis and further developed detailed analysis. Familiar with possible bias and errors explanation regarding study design. Max. size 5 pages per assessment. Work in Stata or R.

...entry.
You must have experience with SPSS and the following statistical tests: raw frequencies and adjusted odds ratios (OR) with 99% confidence intervals (CI), logistic **regression** analysis WHILE accounting/adjusting for confounding variables.
The person I select to help me with this must be able to discuss the study design and understand the clinical

...least 2 years experience doing QA in software development projects (web and mobile)
-Strong knowledge in software QA methodologies, tools and processes (functional, smoke, **regression**)
-Experience in agile methodology
-Excellent communication and documentation skills
-Can write test plans
-Can work under minimal supervision and can attend daily scrum
-Experience

...you.
I have a panel dataset and I want to use time fixed effects **regression** to estimate a model and forecast values with the fitted model. My panel data is unbalanced and has 40.109 rows and 25 columns, although a lot of observations are NaN (no observations). I have 3 different **regression** models with an A and B version which I fit on the data to assess

**Multiple** **regression** analysis to test the hypotheses (Cohen et al. 2003). To avoid problems with multicollinearity, we mean-centered the exogenous variables, as Cohen and colleagues (2003) recommend. The variance inflation actors indicate that multicollinearity is not a threat to the conclusions of the study. To test for the relative magnitude of the

Hey Guys,
I have an urgent **project** !
As more flexible and fas you are, the better your chances.
WHAT YOU SHOULD DO
A simple data analysis needs to be done with econometric software (Matlab, Stata or R)
(Please see the attachments: DataSet and detailed **project** and work description is attached)
Model: One dependent variable (3), two independent variables

...and Derivative commodities in Agriculture space. The model should cover entire flow of Instrument valuation, various Hedge Effectiveness testing - Dollar Offset, Linear **Regression** and generation of A/C Entries based upon Cash Flow and Fair Value Hedge. The A/C Entries should include bucketing of OCI & PnL accounts. More information can be discussed

Hi All,
I need 2 images for some slides. The topic is about UI **regression** and how something great can become something with the same elements, but now be not so great.
I would like both images to be of a super sonic rainbow powered unicorn (or alicorn/pegacorn). The unicorn in both images needs to be obviously the same animal.
Impressions

...to implied by the betting market goal and win supremacy. Then model should look back over the season's games for each football league and use (probably?) standard linear **regression** techniques to come up with a set of rankings that are most consistent with the derived before goals and supremacy values for those games
Here's a good explanation of what

...and E are unnecessary and extraneous, and I don't wish to have them in the final Python script, unless they are necessary.
Recreation of pandas now-deprecated rolling() **regression** functionality for multivariate linear regressions.
I believe this has been deprecated, but it appears still listed in the pandas documentation. If it is still functional

We need a Python script to take in any given dataset (meaning either a **regression** task or a machine learning task) and select features according to four feature selections algorithms which will be provided.
We are expecting the following:
df_raw
df_one
df_two
df_three
df_four
where df_raw is what we provide and df_one...df_four are the dataframes you