For your answers, you need to (1) state clearly the assumptions required for your answer; (2) attach the R codes you used to answer the question; (3) only a summary of R outputs can be used in your answers and you may attach the original R outputs in an Appendix

For your answers, you need to (1) state clearly the assumptions required for your answer; (2) attach the R codes you used to answer the question; (3) only a summary of R outputs can be used in your answers and you may attach the original R outputs in an Appendix. 
Question 1 In a study of “love and marriage” a sample of husbands and wives were asked to answer the following questions. 
(1) What is the level of pass (2) What is the level of pass (3) What is the level of com (4) What is the level of com 
The responses w 1 = none I 2 = very little 3 = some 4 = very much 5 = extremely 
Thirty husbands and thirty wives gave the responses and the data are included in the file “Love.dat” (available on unit webpage). In this data set the first 4 columns are the responses of husband rating wife, and the last 4 columns are the responses of wife rating husband. 
(a) Plot the mean vectors for husbands and wives as sample profiles. ( comment on graph , trend) (b) Perform hypothesis testing on the following questions. (Use ?=5%) and check and state equal variance homogeneity assumptions 1. Is the husband rating wife profile parallel to the wife rating husband profile? 2. If yes to 1 then are these two profiles coincident? 3. If yes to both 1 & 2 then are these two profiles at the same level? What conclusions can be drawn from (b)