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3.
y^ = ?
We sub the value of x1 = 100, x2 = 50, x3 = 200
= 200 + .10*100 + .20*50 - 0.93*200
= 34
Answer: 34
4.
The residual is basicaly
y-y^
= 40-34 (calculated in part 3)
= 6
Answer: 6
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1 out of 1 points This applies to questions 3 and 4 Suppose you have fit...
This preamble applied to questions 1 & 2 (Based loosely on textbook page 442) Say we...
This preamble applied to questions 1 & 2 (Based loosely on textbook page 442) Say we are interested in examining the linear relationship between the monthly labour hours required in a hospital (y), the monthly x-ray exposures (x1), monthly occupied bed days (x2), and average length of stay (x3). We gather 10 observations, and input the data into Excel. We obtain the following output Intercept X Variable 1 X Variable 2 X Variable 3 Coefficients 1134.56 0.16 0.27 -147.93 Standard...
Logout This preamble applies to all the remaining questions. The questions are based on the lecture...
Logout This preamble applies to all the remaining questions. The questions are based on the lecture example for regression with categorical data. In the lecture example, we were analyzing the association of Repair time (y), the dependent variable, with the Time since last service (X1), and the Repair type (x2). Where x2 was a dummy variable coded 1 for an electrical repair and 0 for a mechanical repair. This time we inversely coded x2 ; i.e. x2 = 1 if...
Questions 6 to 9 are based on the same information. Johnson Filtration, Inc. provides maintenance service for wa...
Questions 6 to 9 are based on the same information. Johnson Filtration, Inc. provides maintenance service for water-filtration systems throughout southern Florida. Customers contact Johnson with requests for maintenance service on their water-filtration systems. To estimate the service time and til service cost, Johnson's managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to two factors, the number of months since...
For each part of the question what steps do I need to take in minitab to...
For each part of the question what steps do I need to take in
minitab to find this answer?
Months Since Type of Repair Time (hours) Last ServiceRepair Repairperson electrical Dave Newton mechanical Dave Newtorn electricalBob Jones mechanical Dave Newton electrical Dave Newton 4.8 4.9 7 electrical Bob Jones d Minitab output if you used mechanical Bob Jonesi mechanical Bob Jones electrical Bob Jones 4.2 4.8 4.4 ltration, Inc. provides maintenance service for water-filtration systems ohnson Filtration. throughout southern Florida....
IN A EXCEL FILE USING EXCEL FORMULAS AND CALCULATIONS MUST SHOE FORMULAS IN CELL! SHOW THE STEPS ...
IN A EXCEL FILE USING EXCEL FORMULAS AND CALCULATIONS MUST SHOE FORMULAS IN CELL! SHOW THE STEPS IN SOLUTION APPROACH. Refer to the Johnson Filtration problem introduced in this section. 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 in Hours Months Since Last Service Type...
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...
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 in Hours 3.0 3.1 Months Since Last Service 2 6 8 3 2 7 Type of Repair Electrical Mechanical Electrical Mechanical Electrical Electrical Mechanical Mechanical...
DATAnle: Repair A statistical program is recommended. samples 10 W e eported the table Sesw.ved to...
DATAnle: Repair A statistical program is recommended. samples 10 W e eported the table Sesw.ved to type of repair problem mechanical order , and the pairperson who performed the service. Bata rör Repair Time Months Since in Hours Type of Repair Repairperson Last Service 2.9 Electrical Dave Newton 6 Mechanical Dave Newton 4.8 Electrical Bab Jones 3.0 Mechanical Dave Newton Electrical Dave Newton Electrical 4.2 9 Mechanical Mechanical Bab Jones Bab Jones Bab Jones Electrical Bob Jones Flectrical Dave Newton...
Repair Time in Months Since Last Hours 2.9 3.0 Service 2 6 8 3 2 7...
Repair Time in Months Since Last Hours 2.9 3.0 Service 2 6 8 3 2 7 Type of Repair Repairperson Electrical Mechanical Electrical Mechanical Electrical Electrical Mechanical Mechanical Electrical Electrical Donna Newton Donna Newton Bob Jones Donna Newton Donna Newton Bob Jones Bob Jones Bob Jones Bob Jones Donna Newton 1.8 2.9 4.9 4.2 8 4 6 d Create a new dummy variable that is equal to。if the repairperson s Bob ones and 1 the repairperson s or na Newton...
1. Develop the simple linear regression equation to predict repair time given the number of months...
1. Develop the simple linear regression equation to predict
repair time given the number of months since
the last maintenance service, and use the results to check the
conditions necessary for valid inference in
regression, and to test the hypothesis that no relationship exists
between repair time and the number of
months since the last maintenance service at the 0.05 level of
significance. What is the interpretation of
this relationship? What does the coefficient of determination tell
you about this...
An analyst at a local automotive garage wanted to see if there were relationships between repair...
An analyst at a local automotive garage wanted to see if there were relationships between repair time in hours (y) and months since last service(x1), type of repair(x2), whether it was a truck or car(x3), or the mileage of the vehicle(x4). Use a level of significance of 0.05. 1. What is the dependent variable? 2. What are the independent variables? 3. Run the regression analysis with the four independent variables. Write out the prediction equation. 4. From a global perspective...
This preamble applied to questions 1 & 2 (Based loosely on textbook page 442) Say we are interested in examining the linear relationship between the monthly labour hours required in a hospital (y), the monthly x-ray exposures (x1), monthly occupied bed days (x2), and average length of stay (x3). We gather 10 observations, and input the data into Excel. We obtain the following output Intercept X Variable 1 X Variable 2 X Variable 3 Coefficients 1134.56 0.16 0.27 -147.93 Standard...
Logout This preamble applies to all the remaining questions. The questions are based on the lecture example for regression with categorical data. In the lecture example, we were analyzing the association of Repair time (y), the dependent variable, with the Time since last service (X1), and the Repair type (x2). Where x2 was a dummy variable coded 1 for an electrical repair and 0 for a mechanical repair. This time we inversely coded x2 ; i.e. x2 = 1 if...
Questions 6 to 9 are based on the same information. Johnson Filtration, Inc. provides maintenance service for water-filtration systems throughout southern Florida. Customers contact Johnson with requests for maintenance service on their water-filtration systems. To estimate the service time and til service cost, Johnson's managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to two factors, the number of months since...
For each part of the question what steps do I need to take in
minitab to find this answer?
Months Since Type of Repair Time (hours) Last ServiceRepair Repairperson electrical Dave Newton mechanical Dave Newtorn electricalBob Jones mechanical Dave Newton electrical Dave Newton 4.8 4.9 7 electrical Bob Jones d Minitab output if you used mechanical Bob Jonesi mechanical Bob Jones electrical Bob Jones 4.2 4.8 4.4 ltration, Inc. provides maintenance service for water-filtration systems ohnson Filtration. throughout southern Florida....
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 in Hours 3.0 3.1 Months Since Last Service 2 6 8 3 2 7 Type of Repair Electrical Mechanical Electrical Mechanical Electrical Electrical Mechanical Mechanical...
DATAnle: Repair A statistical program is recommended. samples 10 W e eported the table Sesw.ved to type of repair problem mechanical order , and the pairperson who performed the service. Bata rör Repair Time Months Since in Hours Type of Repair Repairperson Last Service 2.9 Electrical Dave Newton 6 Mechanical Dave Newton 4.8 Electrical Bab Jones 3.0 Mechanical Dave Newton Electrical Dave Newton Electrical 4.2 9 Mechanical Mechanical Bab Jones Bab Jones Bab Jones Electrical Bob Jones Flectrical Dave Newton...
Repair Time in Months Since Last Hours 2.9 3.0 Service 2 6 8 3 2 7 Type of Repair Repairperson Electrical Mechanical Electrical Mechanical Electrical Electrical Mechanical Mechanical Electrical Electrical Donna Newton Donna Newton Bob Jones Donna Newton Donna Newton Bob Jones Bob Jones Bob Jones Bob Jones Donna Newton 1.8 2.9 4.9 4.2 8 4 6 d Create a new dummy variable that is equal to。if the repairperson s Bob ones and 1 the repairperson s or na Newton...
1. Develop the simple linear regression equation to predict
repair time given the number of months since
the last maintenance service, and use the results to check the
conditions necessary for valid inference in
regression, and to test the hypothesis that no relationship exists
between repair time and the number of
months since the last maintenance service at the 0.05 level of
significance. What is the interpretation of
this relationship? What does the coefficient of determination tell
you about this...
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