Regression And Correlation Analysis Paper Essay

1128 Words5 Pages
Statistics Project PART C: Regression and Correlation Analysis A. Introduction and Summary Report: ALLSEASONS is a Chicago company that specializes in residential heating and cooling systems. Their call center has 100 employees who handle both inbound and outbound calls to schedule appointments for service technicians. Call center employees can schedule any type of appointment but they are assigned to one of three specialized teams, as noted below. During the first week of September the call center managers gathered data on the following key variables. 1. ID number is the number assigned to employees on their ID/keycard. 2. APPOINTMENTS is the number of service appointments scheduled during the week. 3. OUTBOUND is the number of outbound calls the week. 4. INBOUND is the number of inbound calls the week. 5. MINUTES represents the average minutes per outbound call the week. 6. MONTHS is the months of experience in the call center. 7. TEAM specialty … TUNEUP (1 hour) … REPAIR (actual time + materials) … INSTALL (quoted time + materials). The coefficient of correlation r (98) = 0.882, p = 0.000 < 0.001, indicates that there exists a strong positive linear relationship between the variables APPOINTMENTS and OUTBOUND. The test statistic t (98) = 18.50, p = 0.000 < 0.001 indicates that the slope of regression between APPOINTMENTS and OUTBOUND is significant. The coefficient of determination R2 = 0.777 indicates that 77.7% of the total variation in the APPOINTMENTS is
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