Question: QMB3200 - SPRING 2020 - MAKE UP HOMEWORK DUE MON APRIL 27 @ 8AM (MORNING) Watson & Watson Repair Inc. provides maintenance service for a

 QMB3200 - SPRING 2020 - MAKE UP HOMEWORK DUE MON APRIL

QMB3200 - SPRING 2020 - MAKE UP HOMEWORK DUE MON APRIL 27 @ 8AM (MORNING) Watson & Watson Repair Inc. provides maintenance service for a large apartment complex in downtown Saint Petersburg, Florida. The managers are evaluating the possibility of hiring another maintenance person due to the increase of maintenance calls. Rafael Roddick and Andy Nadal are currently responsible for maintenance tasks. To investigate "what" drives Repair Time and be able to hire the best candidate, the managers hire you as statistician to conduct a regression analysis. As dependent variable you have time of repair for each, Rafael and | Andy. You also have time since last maintenance. You should accomplish your analysis step by step, including one variable at a time. First look at the correlations table to figure out the relationship between variables, STEP 1: use the dummy variable REPAIRPERSON = 1 IF responsible = RAFAEL:_REPAIRPERSON = 0 IF responsible = ANDY; RUN a regression model using ONLY repairperson as variable to explain REPAIRTIME 1) (2pt) Comment on goodness of fit of the model 2) (5pt) Report the statistical significance of the coefficients. |STEP 2: Use MONTHS SINCE LAST SERVICE AND REPAIRPERSON in a regression to explain REPAIRTIME 3) (2pt) Comment on the scatter diagram for Months-since-last-service and Bepaictime. 4) (5pt) Comment on goodness of fit of this model. 5) (5pt) Why do you think Repairperson is important or unimportant in this model

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