please assist with this NON GRADED assignment b. At the 0.05 level of significance, test whether the estimated regression equation developed in part (a) represents a significant relationship between the independent variables and the dependent variable.Compute F test statistic (to 2 decimals).Use Table 4 from Appendix B to determine the p-value.The p-value is less than 0.01What is your conclusion?The overall model is statistically significantc. Is the addition of the independent variable 23, the repairperson who performed the service, statistically significant? Use a = 0.05.Compute the t test statistic for the significance of e3 (to 2 decimals). Enter negative value as negative number.Use Table 2 from Appendix B to determine the p-value.The p-value is greater than 0.10What is your conclusion?The addition of Person is notstatistically significant.What explanation can you give for the results observed?Person is highly correlated with months since last service vso once the effect of that is accounted for the addition of person will not add much. Johnson Filtration, Inc., provides maintenance service for water-filtration systems throughout southern Florida. Suppose that in addition to information on the number of months since the machine was serviced and whether a mechanicalor an electrical repair was necessary, the managers obtained a list showing which repairperson performed the service. The revised data follow.Repair TimeMonths Sincein HoursLast ServiceType of RepairRepairperson2.82ElectricalDave Newton3.1MechanicalDave Newton4.98ElectricalBob Jones1.93MechanicalDave Newton2.92ElectricalDave Newton4.97ElectricalBob Jones4.2MechanicalBob Jones4.8MechanicalBob Jones4.34ElectricalBob Jones4.5ElectricalDave Newtona. Develop the estimated regression equation to predict the repair time given the number of months since the last maintenance service, the type of repair, and the repairperson who performed the service. Assume that xz = 1 if the typeof repair is electrical and æ3 = 1 if Dave Newton performed the service. Enter negative value as negative number.Time = bo + bị Months + b Type + b3PersonRound your answers to three decimal places.bob1b2b3

b. At the 0.05 level of significance, test whether the estimated regression equation developed in part (a) represents a significant relationship between the independent variables and the dependent variable. Compute F test statistic (to 2 decimals). Use Table 4 from Appendix B to determine the p-value. The p-value is less than 0.01 What is your conclusion? The overall model is statistically significant c. Is the addition of the independent variable z3, the repairperson who performed the service, statistically significant? Use a = 0.05. Compute the t test statistic for the significance of 23 (to 2 decimals). Enter negative value as negative number. Use Table 2 from Appendix B to determine the p-value. The p-value is greater than 0.10 What is your conclusion? The addition of Person is not O statistically significant. What explanation can you give for the results observed? Person is highly correlated with months since last service v ,so once the effect of that is accounted for the addition of person will not add much.

b. At the 0.05 level of significance, test whether the estimated regression equation developed in part (a) represents a significant relationship between the independent variables and the dependent variable. Compute F test statistic (to 2 decimals). Use Table 4 from Appendix B to determine the p-value. The p-value is less than 0.01 What is your conclusion? The overall model is statistically significant c. Is the addition of the independent variable z3, the repairperson who performed the service, statistically significant? Use a = 0.05. Compute the t test statistic for the significance of 23 (to 2 decimals). Enter negative value as negative number. Use Table 2 from Appendix B to determine the p-value. The p-value is greater than 0.10 What is your conclusion? The addition of Person is not O statistically significant. What explanation can you give for the results observed? Person is highly correlated with months since last service v ,so once the effect of that is accounted for the addition of person will not add much.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

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please assist with this NON GRADED assignment

b. At the 0.05 level of significance, test whether the estimated regression equation developed in part (a) represents a significant relationship between the independent variables and the dependent variable.
Compute F test statistic (to 2 decimals).
Use Table 4 from Appendix B to determine the p-value.
The p-value is less than 0.01
What is your conclusion?
The overall model is statistically significant
c. Is the addition of the independent variable 23, the repairperson who performed the service, statistically significant? Use a = 0.05.
Compute the t test statistic for the significance of e3 (to 2 decimals). Enter negative value as negative number.
Use Table 2 from Appendix B to determine the p-value.
The p-value is greater than 0.10
What is your conclusion?
The addition of Person is not
statistically significant.
What explanation can you give for the results observed?
Person is highly correlated with months since last service v
so once the effect of that is accounted for the addition of person will not add much.

Johnson Filtration, Inc., provides maintenance service for water-filtration systems throughout southern Florida. Suppose that in addition to information on the number of months since the machine was serviced and whether a mechanical
or an electrical repair was necessary, the managers obtained a list showing which repairperson performed the service. The revised data follow.
Repair Time
Months Since
in Hours
Last Service
Type of Repair
Repairperson
2.8
2
Electrical
Dave Newton
3.1
Mechanical
Dave Newton
4.9
8
Electrical
Bob Jones
1.9
3
Mechanical
Dave Newton
2.9
2
Electrical
Dave Newton
4.9
7
Electrical
Bob Jones
4.2
Mechanical
Bob Jones
4.8
Mechanical
Bob Jones
4.3
4
Electrical
Bob Jones
4.5
Electrical
Dave Newton
a. Develop the estimated regression equation to predict the repair time given the number of months since the last maintenance service, the type of repair, and the repairperson who performed the service. Assume that xz = 1 if the type
of repair is electrical and æ3 = 1 if Dave Newton performed the service. Enter negative value as negative number.
Time = bo + bị Months + b Type + b3Person
Round your answers to three decimal places.
bo
b1
b2
b3

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