# Excel regression calculation jobs

2 exercises with compress/decompress and **regression**/classification

...i'm wanting to build a budget based app that helps me track my practise,the information and produce built must remain Intellectual Property (IP) Agreement ,i have built a **excel** macro as a prototype their are a number of macros ,but would like some help CC+ Software or program into a live app ,or iPhone, Mobile App Development, iPad, Objective C, Android

I am looking for someone to make me a simple **excel** sheet that will show income tax based on gross salary and provide me with a net salary figure. There are multiple tax bands 0% - 3% - 10% and 20%.

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

...DELIVERABLES ARE
You have to send back the output of the **regression** (coefficients, graphs) in a way, that it can be used in Microsoft Word or **Excel**, if possible. The **regression** needs to be done using Feasible Generalized Least Squares AND Maximum Likelihood
The output table of the **regression** needs to contain:
- Beta coefficients
- Error term
- Squared

Hello, I simply wanted to extend date range on my existing **excel** sheet. When you open this **excel** sheet, it have provision to enter data untill 7th Aug 2018. I want this extension for 2 more years with same vendor list. I am attaching **excel** file.. I want its extension so that i can enter further and do calculations with filter in excelsheet...i can pay

I have a mysql DB which I want to use to create a mailchimp database. Before importing it I want to clean it up a bit and create a new column based on a simple **calculation**
quantity x 12 = Standard
quantity x 26 = Expert
Need this done right away, should only take a few minutes if have the skills and the tools!
Lets chat via DM

...system/solution and looking for a consultant who can work with us and deliver **excel** based model on Various Physical 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

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

We need a complicated variable spreadsheets with many different numbers it s an estimate calculator Software is Apple Numbers

...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

...effectively have two tasks that I need completed:
Quasi-replication of Excel's MATCH() and OFFSET() functions in Python/pandas.
An example of what I want to replicate is in the **Excel** sheet attached, as well as in the picture attached. Note that both of these function need to look forward in the dataframe, as opposed to backwards, as in pandas .rolling()

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

...effectively have two tasks that I need completed:
Quasi-replication of Excel's MATCH() and OFFSET() functions in Python/pandas.
An example of what I want to replicate is in the **Excel** sheet attached, as well as in the picture attached. Note that both of these function need to look forward in the dataframe, as opposed to backwards, as in pandas .rolling()

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Looking for Python programmer for Machine learning implementation. Minimum Experience 6 months. Simple implementation of Basic Algorithms. Like SVM, Linera **Regression**, Random Forest **Regression**

Please read carefully. It is necessary to register on the site to see what it is. This is a photovoltaic panel configurator. It is a module that can calculate. I need someone who can install the same module on another site. This is the example of what I need. [conectează-te pentru a consulta linkul URL]

Business Problem - Company collected data from 5000 customers. The objective of this case study is to understand what's driving the total spend of credit card(Primary Card + Secondary card) Prioritize the drivers based on the importance.

Company collected data from 5000 customers. The objective of this case study is to understand what's driving the total spend of credit card(Primary Card + Secondary card) Prioritize the drivers based on the importance. There are several KPIs driving the expenditure like age group, income, gender, cardtyoe

Hi there, I would like to build a web based drag and drop solution. The website must allow you to create cards and define the **calculation** logic. The cards can be in different tiers on a timeline, So if Card A has 4 cards under it (AA, AB, AC, AD) the total calculated amount of each card must generate a total in Card A. If one of the cards are removed

need some modification of attached standard tflearn code to 1. target variable is column 1 2. 17 variables to predict column 1 3. divide csv data into train and test (80/20) 4. stop model when acceptable R2 reached 5. prediction of column 1 from other 17 variables

A Freelancer with a strong understanding of NURBS spline **calculation** is needed
to write a mesh computation utility for the Linux platform. The program will
compute a 3D spline mesh surface. Please see attachment.

...Forecast real estate rental prices in Paris using 6500 data points. Data will be given.
2. Use the best forecast model (preferably machine learning model) like Gradient Boosting **Regression**
3. You can use any language to code the model.
4. The model will be based on the data stored in a mysql database. And this forecast code will be used on a website for users

...To detect if the bugs are historical or new.
2. There are roughly 50 columns stating different things, in particular there is a column called **Regression**, which has two values Y or N. If the value, in **regression** column is Y, then there is a defect and the same could be a severe defect, which needs to be fixed immediately, if it is N, the same can be shared

A Freelancer with a strong understanding of spline **calculation** and manipulation
is needed to write a mesh computation utility for the Linux platform. The program will
compute a 3D mesh surface constructed from splines. Graphic rendering is required.
Please see attachment for details.

I need help in the mathematical approach to remove independent variables

Two analysis needs to be run - a step wise **regression** (200 obs.) and a Diff in Diff analysis (18 obs)...
The stats have to be written up and the charts have to be created in R
That is the job

...1) Clean up data sets - delete incomplete rows and invalid answers.
2) Present all in tables / graphs (Q by Q).
3) Lite statistics (on a few questions only) - multiple **regression** and/or correlate certain variables (e.g. reported income with energy expenditures).
4) 1 page summary with highlights per segment/questionnaire.
5) Per questionnaire: tables/graphs

Requirement goes like this:
1. Web application should be created using Django
2. User should be able to upload the **excel** sheet which he requires
3. Back end it should integrate or read with Python and run all the **regression** and classification techniques and generates the output into a sheet
4. User should be able to download the result sheet
5. When

Statistical consulting on a shared computer on Data analysis in regard to purposeful sele...Hosmer and Lemeshow - Applied ogistic regresson - Third Edition( Chapter 4-model building strategies and and methods for logistic **regression** pages 90-93; 2. Bursac et al; purposeful selection of variables in logistic **regression**. Source Code Biol Med (2008).

we need some one familiars with making financial report and calculating various accounting indicators such as transaction, turonverm ROCE and so forth report required deadline 10/8 budget is 50$ only

Working with top US bank for past 3 years. Work includes **Regression** Modelling as well as machine learning Modelling. My skill includes SAA, SQL, VBA, Unix

I need an engineer experienced in programs like SAP to make the memories of **calculation** of a scaffolding tower, 25m high ,
The scaffolding tower will be used to make repairs at a height of 25m in a building
I am going to make a ringlock scaffolding tower , and I need an engineer to help me make the memories of calculous of all forces, momentums and

... websockets and web scraping approaches into a google sheets spreadsheet and analyse it within Google Sheets with different types of data-analysis approaches like linear **regression**, moving averages and others.
This will be an ongoing job based on Milestones Briefings and Milestone payments.
Your proposal should be based on the following specific request

...Understanding and analyzing the requirements
- Testing various modules of an application.
- Preparing a Test Suite of Sanity, Functional, **Regression** and Acceptance testing.
- Performed: Functionality Testing, **Regression** Testing, GUI Testing, cross browser testing, Boundary Testing, Validation, Component testing, Integration testing, System Testing,Black

Test item writing, item reviewing, job analysis, test validation, item analysis, statistical analysis, **regression** analysis, correlations, google sheets, **excel** sheets and formulas, remote work, research experimentation, javascript, and/or other coding languages is a plus.
This is an ongoing project. A background in psychometric test development, industrial

To create **Excel** Sheet to calculate compressor efficiency for both centrifugal and reciprocating compressor. It should accommodate different possibilities such as (singe stage or multi stage). One sheet explaining the formulas used. Units should be in SI.
This sheet will be put to test in my university lab.

I have a series of statistics question which requires expert knowledge of subject topics such as Probability, Hypothesis testing, **Regression** and data analysis. additionally, I require expert knowledge of **Excel** for data as well.

...given. It's important to understand that prediction and learning are two operations which are performed at separate times.
As far as I can determine this is a supervised - **regression**, deep learning neural network scenario but if you have some other idea to do this better let me know. I would like to have as many hidden layers as my pc can still function

I am looking to compare outcomes from two groups of patients.
first I...Then I would like to do univariate and multivariate analysis + logistic **regression** to determine the contribution of risk each variable to the outcome
(around 5000 cases)
This needs to be done using SPSS. Tests used are fishers exact, pearsons chi squared and logistic **regression**

My objective is to Identify the correlation between the macro-environmental factors and the outcome of the airports under different ownership models.

Hey,
Help with R programming.
I want someone who can start right away
So basically I need the output of the logistic **regression** model to have coefs,odds ratio, p vlaue , ROC curve

I want to design **calculation** of a steel shed of 55 M x 46 M.

There is a php file where it calculates taxi fare price estimations depending on options and db fields

1. One-way ANOVA (Comparison of Several Means)
2. Simple linear **Regression** (SLR):
3. Multiple Linear **Regression** (MLR):
4. Factorial Experiment (Multi-factor studies)
5. Design of Experiments
6. Non-parametric and Categorical analysis

1. One-way ANOVA (Comparison of Several Means)
2. Simple linear **Regression** (SLR):
3. Multiple Linear **Regression** (MLR):
4. Factorial Experiment (Multi-factor studies)
5. Design of Experiments
6. Non-parametric and Categorical analysis

1. One-way ANOVA (Comparison of Several Means)
2. Simple linear **Regression** (SLR):
3. Multiple Linear **Regression** (MLR):
4. Factorial Experiment (Multi-factor studies)
5. Design of Experiments
6. Non-parametric and Categorical analysis
need to answer all the questions based on this concept

...do:
1) Clean up data sets - delete incomplete rows and invalid answers.
2) Present all in tables / graphs (Q by Q).
3) Lite statistics (on a few questions only) - multiple **regression** and/or correlate certain variables (e.g. reported income with energy expenditures).
4) 1 page summary with highlights per segment/questionnaire.
5) Per questionnaire: tables/graphs

Looking for someone who can help me to analyze the performance testing, test app on number of devices using AWS device farm or similar platform
Stress Testing
Suggest i...can help me to analyze the performance testing, test app on number of devices using AWS device farm or similar platform
Stress Testing
Suggest improvements
Security holes
**Regression**

...Data Entry Job using **Excel** 2016 for someone with high attention to detail.
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The Project:
I have uploaded a file to show the format of how i would like the data presented within **Excel**.
Anything highlighted