Assignment: Data Science And Big Data Analytics
Answer below questions
· Which Data structures in R are the most used? Why?
· Consider the cbind() function and the rbind() function that bind a vector to a data frame as a new column or a new row. When might these functions be useful?
· Do you think the regression line sufficiently captures the relationship between two variables? What might you do differently?
· In the Iris slide example (2BR), how would you characterize the relationship between sepal width and sepal length?
· Did you notice the use of color in the Iris slide? Was it effective? Why or why not?
· Refer back to the ANOVA example on an earlier slide. What do you think? Does the difference between offer1 and offer2 make a practical difference? Should we go ahead and implement one of them?
· If yes, and the costs were US $25 for each offer 1 and US $10 for offer2, would you still make the same decision?
· In our manufacturing plant example, assuming you could check the plant for problems in the manufacturing process, how might you justify this decision financially?
Format your assignment according to the following formatting requirements:
1. The answer should be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.
2. The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.
3. Also include a reference page. The Citations and references should follow APA format. The reference page is not included in the required page length.