# Java regression jobs

I am looking for statistician who can run **regression** analysis for data set with r language.

Looking for an Experienced Python Developer and Data Science Engineer.
Experience with **Regression** Analysis, KNN, SVM, etc.

I need to find the solar energy demand data for a country along with making a simple **regression** with that data.

Linear **Regression** and Correlation
Interpretation of p-value
Interpretation of **regression** coefficient
Relationship between R2 and correlation
Multiple **Regression**
More general multiple **regression** models
Parameter interpretation
Significance tests for single parameters
Logistic **Regression**
Link between coefficients and odds ratio
Link between

Predict and reporting individuals ability to cope with daily cognitive tasks using hierarchical **regression**.
Must have worked in area of psychology or have a degree in psychology
Must be familiar with professional psychological research (APA referencing)
Must have used Qualtrics and spss to write a professional paper before
The project is checked

Stream data into R , create new variables based on data, analyze win% loss % , gain % and loss% of those variable based historical data. multiple variable **regression**. Determine the risk reward ratio of the stock based on the variables inputted.

...you the weekly cost as a function of the number of visitors.
Exercise:
■ Calculate the cost function in Excel; this function seems to have 2 linear
parts. Use linear **regression** twice.
■ Make a graph to show your result.
■ Use the cost function to forecast the costs for 50k and 60k visitors per week.
■ Explain the behavior of the cost function

very simple python project. doing a **regression** analysis and finding out the r square and mean error scale values

To implement all requested items being sent to you including all dataset and different figures with fixing **regression** figures. All details info being sent to you.

Need an expert in excel, that can use palisades for **regression**
Budget 25$

Require the following: - Simple Dataset Building (preferred access to Thomson Reuter Platform) - Literature Review (3/4 pages) + References - Simple Econometric analysis (regressions) - Description of Dataset, methodologies and results Time available: 2/3 weeks Further material/guidelines will be shared to interested freelancers.

2-week tutor to help with assignments and upcoming exam prep. I need help with: confidence intervals, range & sample standard deviation, probability...intervals, range & sample standard deviation, probability curve, distribution area, critical value, a margin of error, a linear correlation coefficient, and least squares **regression** line to name a few.

...the analyses and would like to ask for your help. I would like you to do the analysis for me and fill out the tables with your results. For Table 2 and Table 3, I used Cox **regression** but I already completed the statistical analysis and just need you to fill out the tables according to my results (I will give you the results output in SPSS). Therefore

...well as a UPC-converter, which is a basic example of the templates we need; most with be more complex)
- Ideally, the team is also familiar with some level of data science, **regression** analysis, etc.
We would need you to sign a Non-Disclosure Agreement to access our data. We work in US time zone and would need a team capable of responding during normal

...or excel and i need someone to analyze them and explain them to me. I need to create the variables and then see the relationship between them, either with correlations or **regression**. I prefer someone with experience ins SPSS and psychology reports in. The project it is not big, so if someone knows good spss ad psychology skills it will do it in less

This is research paper, building Predictive model ( Logistic **Regression**, OR Decision Tree, OR Random Forest) to Predict ( YES,NO) Gas pipe failure based on Historical data. 300,000 Data sample (No damage) & 1000 data sample (Yes Damage). I've the data broken into 35 features/attributes in Excel, and Python.
- After I did run the data in Python, it

In excel using the this 2016 US Crime data of violent crime and population, produce for me these outputs:
-linear **regression** analysis
-scatterplot with trendline
-a brief report describing your findings

I am working on a statistics project for my Lifeguard Department and was wondering if you could help me? I am looki...week, etc.) and find a likelihood for the amount of rescues that we will have. Do you know how I would be able to go about something like this? I can send you my data set, **regression** sheet with each factor and what ever else you need.

I am working on a statistics project for my Lifeguard Department and was wondering if you could help me? I am looki...week, etc.) and find a likelihood for the amount of rescues that we will have. Do you know how I would be able to go about something like this? I can send you my data set, **regression** sheet with each factor and what ever else you need.

I am working on a statistics project for my Lifeguard Department and was wondering if you could help me? I am looki...week, etc.) and find a likelihood for the amount of rescues that we will have. Do you know how I would be able to go about something like this? I can send you my data set, **regression** sheet with each factor and what ever else you need.