Question 1
Please submit a Rmarkdown (word format) report capturing the following:
Use the Iris Dataset which can be loaded into the Rstudio environment iris_exams.csv (click to download). The questions below concentrate on lessons 8. Understand the relationship between the independent variables. The dependent variable in this problem is Species.
Provide at least the following in the report for full credit:
(1) Correlation Analysis:
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• Perform data screening making sure to check for accuracy, missing, outliers.
• Perform assumption checks for linearity, normality, homogeneity, and homoscedasticity.
• Capture a Correlation Matrix and Visual to express the relationship between each of the variables in the iris dataset.
• What is the correlated effect? Provide an interpretation in your own words. Support your response with results captured from the correlation analysis.
• Calculate the Variance. What does it tell us?
• Calculate the Covariance. What does it tell us?
Rubric:
• +50% submitted anything close to an actual attempt
• +40% for accurate results and interpretations.
• +10% did you meet all the specified requirements above.
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Question 2
Please submit a Rmarkdown (word format) report capturing the following:
Use the Iris Dataset which can be loaded into the Rstudio environment iris_exams.csv (click to download). The questions below concentrate on lessons 9 and 10.
Provide at least the following in the report for full credit:
(1) Linear Regression Analysis:
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• Capture a Regression Model with Only Significant Variables. Set the dependent variable to ‘Species’.
• Capture the final models summary. Provide any visuals that help interpret the results.
• Provide an interpretation of the results in your own words. Support your response with results captured from the linear regression analysis.
Rubric:
• +50% submitted anything close to an actual attempt
• +40% for accurate results and interpretations.
• +10% did you meet all the specified requirements above.
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Question 3
Please submit a Rmarkdown (word format) report capturing the following:
Use the Iris Dataset which can be loaded into the Rstudio environment iris_exams.csv (click to download). The questions below concentrate on lesson 12.
Provide at least the following in the report for full credit:
(1) ANOVA:
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• Capture an ANOVA model on the iris dataset. Set the dependent variable to ‘Species’.
• Capture a summary.
• Provide an interpretation of the results in your own words. Support your response with results captured from running ANOVA.
Rubric:
• +50% submitted anything close to an actual attempt
• +40% for accurate results and interpretations.
• +10% did you meet all the specified requirements above.
Upload
Choose a File
Question 4
Please submit a Rmarkdown (word format) report capturing the following:
Use the Iris Dataset which can be loaded into the Rstudio environment iris_exams.csv (click to download). The questions below concentrate on lesson 11.
Provide at least the following in the report for full credit:
– Null Hypothesis H0 : Sepal.Length has no effect on Species. That is to say that the difference between the observed Sepal.Length values for various Species are not statistically different
– Alternate Hypothese Ha : Sepal.Length has some effect on Species. That is to say that the difference between the observed Sepal.Length values for various Species are in fact different from each other.
(1) The t-test :
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• Capture a t-test.
• Capture a summary.
• Provide an interpretation of the results in your own words. Support your response with results captured from performing a t-test.
Rubric:
• +50% submitted anything close to an actual attempt
• +40% for accurate results and interpretations.
• +10% did you meet all the specified requirements above.
Upload
Choose a File