1.(R needed) For this question you will need to use the cleaning.txt dataset in R. A building maintenance company is planning to submit a bid on a contract to clean corporate offices scattered throughout an office complex. To be able to set a price on the bid, the company wants to estimate the costs associated with the effort. To this end, data were collected for X = new of crews used and Y = number of rooms cleaned for n = 53 days.In every question where you utilize software, you MUST provide the code and output.

a.Create a scatterplot of Y versus X.

b. Fit the simple linear regression model, and then create the associated residuals vs fitted values plot and the Q-Q plot of the standardized residuals.

c. Using the plots in a and b, determine whether all the LINE assumptions are reasonably met.Explain your answer. Further, if one or more are not yet, what remedial measures could you try to address the violations?

I already get the answer of part a and b but still confusing about part c. I attached my answers below.

30 40 50 60 70 80 OO co O O Rooms Wo 10 20 30 O OO OOO 2 4 6 10 12 14 16 Crewsdooo o Normal Q-Q 40 50 60 70 80 C OO 460 310 Rooms GO DO Standardized residuals WO 20 O O 05 N 4 6 8 10 12 14 16 -2 -1 2 Crews Theoretical Quantiles Im(Rooms ~ Crews) Residuals vs Fitted 031 460 O oo OO O Residuals C O oo 0 00 0 O ooo 8 O 58 10 20 30 40 50 60 Fitted values