# Report regression analysis minitab jobs

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.

...like to make keying error proof of check sheet used in laboratory checking.
-Would like to make standardization check sheet that can export the data directly from excel to **minitab**.
-Auto plotting selected chart for reporting purposed.
-Would be able to set a chart with additional criteria
- Would be able to make sure certain information is compulsory

...statistics and **analysis** that is also able to write a few paragraphs for each statistical test interpreting the results.
There may also be some data 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

...test plans
Execute test cases (manual or automated) and analyze results
Evaluate product code according to specifications
Create logs to document testing phases and defects
**Report** bugs and errors to development teams
Help troubleshoot issues
Conduct post-release/ post-implementation testing
Work with cross-functional teams to ensure quality throughout

...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

...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

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

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

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

Looking for someone who can help us with design of experiment setup to analyze up to 7 factors as full factorial and fractional factorial. This...someone who can help us with design of experiment setup to analyze up to 7 factors as full factorial and fractional factorial. This needs to be setup in an excel sheet. No **Minitab** or other software please