Completed

Statistics + R: need help in Linear regression by hand

I am looking for someone who can do the following:

USE Math and Statistics --- like by writing with pen and paper in detailed steps... Please only bid if you can do that. You must write with pen and paper and solve linear regression and linear models equations.. all skills are listed below..

- You also need to be able to convert this equations into R programming language

* Linear regression

* hypothesis test

* F-test

* T-test

* P-value

* Least square

* Residual

* variance / co variance

* bi-variate normal distribution

* confidence intervals

* chi-square distribution

* anova

* Jensen’s inequality

you need to write and solve these types of equation by hand on using pen and paper and also in some case convert then into R code and Plot...

I have 4 questions and there are sub question of about 15... my budget is 30$ to solve this in 4-5 days..

ONLY bid if you know already how to do... please respect my time and most importantly, your time. Thank you.

Skills: Statistics, R Programming Language, Statistical Analysis, Mathematics, SPSS Statistics

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About the Employer:
( 8 reviews ) Salt Lake, United States

Project ID: #27961298

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ringku740

Hello, I am Masud Rana currently pursuing a PhD in Bioinformatics at CAS, Beijing. I completed bachelor's and master’s degrees in Statistics. Due to the pandemic of COVID-19, I am staying home and planning to work as a More

$30 USD in 3 days
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3 freelancers are bidding on average $32 for this job

belarjsoufiane20

Hello. Hope all is well. I'm a statistician with a masters degree in statistics and applied economics and am ready to help you immediately. Happy to chat more to exchange details if interested. Thanks

$40 USD in 2 days
(40 Reviews)
4.9
cKabura

Hello client, checking on your description, I am interested in helping you with this task . I am highly skilled in mathematics as well as mathematics. My experience in handling past projects makes me confident that I w More

$25 USD in 3 days
(1 Review)
1.0