R regression

$2-8 USD / hour

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nesten 5 år siden

$2-8 USD / hour

Hi, this is a microtask so max 20 line of codes 1. Build a regresion model to predict sales (dataset [login to view URL]) units based on the advertising budget spent on youtube, facebook and newspapers. 2. Which predictor variables are significant? 3. If it is possible to remove not significant variables from the model (build the second model) 4. Make predictions using the test data(marketing_test) in order to evaluate the performance previous two regression model. Compare results which you obtain. i uploaded .csv files here. you will have short time (hours) to do this task. You will have opportunity to work with future micro tasks (2-3 per month)

Data Mining

R Programming Language

SPSS Statistics

Statistical Analysis

Statistics

Prosjekt-ID: 19330415

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4 forslag

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Aktiv 5 år siden

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Tildelt til:

@aminbros

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$12 USD om 40 dager

5,0

(51 omtaler)

6,5

4 frilansere byr i gjennomsnitt $6 USD/time for denne jobben

@Galata16

As an: - Bachelor of Applied Mathematics - Engineer in Statistics and Applied Economics - Microsoft Office Technician (Microsoft Graduate: MOS Diploma), - I have skills in programming language R, Python, SPSS I am able, available and ready to do this kind of work in the best conditions, -----------------------------------------------

$5 USD om 40 dager

5,0

(3 omtaler)

1,8

@safeIT

Hi, Am a professional developer, I would like to work on your Project, Please send me the .csv files please let me know if you are interested. Thankyou

$5 USD om 40 dager

0,0

(0 omtaler)

0,0

@djouba

Hi there, i m djouba a statistics engineer and a data analyst. With enough background on statistical field and more than 4 years as data analyst, I have chosen to work right here, to help on econometric projects, to assist data analysis studies, to make your reports professionals as good as possible. If you chose working with me, I’ll be able to assist you on: • Linear regression, econometric model (VECM, VAR, logistics regression…) • Performing Principal Component Analysis (PCA), Factorial correspondence analysis (FCA), Multiple correspondence analysis (MCA). • Time series modeling and prediction • Runing ANOVA on One Factor (fixed and random modalities), ANOVA on Two-Factor (fixed, hierarchical, random and mixed modalities), and Covariance Analysis. • Clustering using a Kmeans method. • Clustering using a Knn method. • Ascendant or Descendant hierarchical classification. • Solve mathematical or probability problems. These statistical skills can be provided in R, STATA, SPSS, Eviews.

$3 USD om 40 dager