# Matlab projects regression analysis jobs

Hi,
Need few tasks of Statistics project to be completed using R Programming. **Regression** model to be validated using R programming
Additional details can be shared later.

I am writing about Multicollinearity proble...writing about Multicollinearity problem .I need a **regression** model that explains the multicollinearity problem accompanied with explaining the full statistical **analysis** of the model, including tests for the significance of individual **regression** coefficients and the overall significance of the **regression**.

...managerial questionnaire. That section should be around 8k (excluding SPSS tables in the appendix). Need SPSS support **analysis** and critical academic writing from your side regarding this part of **analysis**. Your quantitative data **analysis** chapter needs to contain for example
- Introduction section: (to explain how you will measure research hypotheses

I want to learn how to :
Train the predictive model (**regression**, tree, neural net)
Score the results based on the cost matrix and total all scores. Try different sets of independent variables to improve accuracy. Also, try different models.

I have a particular data set and I want to analyse it using Ridge **Regression** in SAS statistical software. I would like some interpretation of the important outcomes and some conclusions.

I have a stata dta file and want to process it to find **regression**. More details to be provided.

We are looking for an individual to write Selenium Acceptance Tests using node.js and the WebDriverIO bindings. The tests will be used to create an automated **regression** test library of end to end tests for a javascript (React/Redux) application.
A list of the tests to be written has been attached. Please review before submitting any bids.
-Tests

Our...choose the best model, and then to test the assumptions and run the model, reporting on the results in somewhat plain language. You must be experienced at running multiple **regression** analyses, excellent in communicating in English and have some experience with medical statistics. We need turnaround in the next couple days if possible. Thank you!

Our business is analyzing some data we have collected in the biomedical field. We need to analyze it and need someone who can run **regression** **analysis**. When you respond, please describe your background in statistic analyses.

...important role in many applications, e.g, document retrieval, web search, spam filtering. At the heart of these applications is machine learning algorithms such as logistic **regression** or Kmeans. These algorithms typically require the text input to be represented as a fixed-length vector. Perhaps the most common fixed-length vector representation for texts

build a predictive model based on probability distributions
analyse data set of the data from within Python
build **regression** model and evaluate it

...using mixed-model methodology.
The exercise has three main parts:
1. Analyze the data according to the mixed models methodology.
2. Re-analyze the data using naive linear **regression** and comparing the results.
3. Use parametric bootstrap to approximate the bias and variance of the estimators under
each method.
Comments:
• Feel free to use plots or

...3) -> (Nsample, 3).
What should you do now? That is this project's question.
It is definitely doable - Coulomb did it using mathematics, so we sure can do it using ML **regression**.
A minor point:
- Imagine the three-dimensional distances is 6 dimensional. Thus a (Nsample, None, 6) -> (Nsample, None, 3) dataset. I want you to study this because

...Lower band
(2) Moving Averages
(d) Simple
(e) Exponential
(f) Variable
(g) Legacy EMA
(3) Linear **Regression** Channel / Standard Deviation Channel
(h) Upper Channel Line (Standard Deviation 1, 2, 3 etc)
(i) Linear **Regression** Line
(j) Lower Channel Line (Standard Deviation 1, 2, 3 etc)
(4) Ichimoku
(k) Tenkan-sen (Conversion Line):

...model. Once you have the estimated model, then you can project the impact of Brexit through changes in trade or finance on the growth rate of the UK.
For example of the **regression** model:
MobileHomesi = β0 + β1PovertyRatei + β2URi + β3CollegeGradsi + other Xs
Data will be a cross section of all 50 states for the year 2015.
Where:
MobileHomesi

I would like a skilled freelancer to help me elaborate a **regression** **analysis** (already existing) based on **regression** results.

I would like a skilled freelancer to help me elaborate a **regression** **analysis** (already existing) based on **regression** results.

...learning and
data mining
Kernel [url removed, login to view]
Problems[show]
Supervised learning
(classification • **regression**)
[hide]
Decision trees Ensembles (Bagging, Boosting, Random forest) k-NN Linear **regression** Naive Bayes Neural networks Logistic **regression** Perceptron Relevance vector machine (RVM) Support vector machine (SVM)
Clustering[hide]
BIRCH CURE

I have a data **analysis** task for a research. the answers are ready and the likert scale questionnaire was used. the research population is only 18 people. i need STATA **analysis** for gronbachs alpha coefficient, multiple **Regression** **analysis** and etc
if you are good at using stata please contact, it is urgent