Archive: R programming
Budget
51$
per month
Posted: 5 years ago
Closed
- Description
- 1. Task 1: analyze the data:
a. Check data validity (e.g. missing data, errors …)
b. Produce proper plots to examine the variation of each continuous variable
with respect to vehicle speeds (ex: Speed Vs. Humidity).
c. Produce proper plots to examine the relationship between categorical data
(e.g. precipitation situation) and the travel lane selected.
d. Produce proper plots to explore and compare the frequency of occurrence
of each precipitation situation and pavement surface status.
e. Produce box and whisker plots to investigate the variation of vehicle speeds
under each precipitation situation and pavement surface conditions.
f. Discuss your observations.
2. Task 2: correlation analysis:
a. Estimate the Pearson correlation coefficient between the continuous
variables and comment on the strength of association between tested
variables.
b. Perform chi-squared test of independence to test the correlation between
categorical variables. Comment on the strength of association between the
tested variables.
c. Based on your observations, discuss the parameters that should be selected
to develop the regression models in Tasks 3 and 4.
3. Task 3: develop the best linear regression model to estimate vehicle speeds under different road-weather and traffic conditions (hint: the dependent parameter is vehicle speed).
a. Show model development steps and present model coefficients
b. Evaluate the performance and validity of the model
c. Evaluate the statistical significance of model coefficients
d. Interpret the model and discuss your findings
4. Task 4: develop the best logistic regression model to describe travel lane selection behavior different road-weather and traffic conditions (hint: the dependent parameter is the probability of a particular lane being selected).
a. Show model development steps and present model coefficients
b. Evaluate the performance and validity of the model
c. Interpret the model and discuss your findings
5. Task 5: prepare a report in PDF format which effectively addresses above
tasks.
a. Use a consistent standard to format your document
b. Check for spelling and grammatical errors
c. The report should be written by you and represent your own work only
d. List your references if needed
e. Provide a table of contents
f. The Codes should be provided in an appendix
Skills:
R programming language,statistics,adobe portable document format (pdf),data analysis,development,translation,regression analysis
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