MIS 660 Topic 7 Simple Regression Analysis GCU
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MIS 660 Topic 7 Simple Regression Analysis GCU
The purpose of this assignment is to apply simple regression concepts, interpret simple regression analysis models, and justify business predictions based upon the analysis.
For this assignment, you will use the “Trucks” dataset. You will use SPSS to analyze the dataset and address the questions presented. Findings should be presented in a Word document along with the SPSS outputs.
The business characteristics of n = 250 U.S. trucking and delivery companies for calendar year 2011 were recorded. Among the characteristics studied were the number of drivers and the number of trucks (power units) each company employed.
Part 1:
Given that the data consists of counts and range of counts is large, a natural log transformation is usually performed to improve the linear model results. Apply a natural log transform to both variables and then plot the Y = log(Trucks) vs. X = log(Drivers).
Is there a linear relationship? Justify your answer by providing the SPSS output as an illustration.
Part 2:
Build a simple linear model by regressing Y on X and testing whether or not a relationship exists between the number of drivers and the number of trucks. Address the following questions in your written response:
- After fitting the model, plot the standardized residuals (on vertical axis) vs. the standardize predictions (on horizontal axis). Is there a pattern? How would you interpret the pattern or lack of pattern?
- After fitting the model, derive the normal probability plot and interpret what the plot means.
- What is the coefficient of determination, R2, of the model? How would you interpret the R2?
- What is the estimate of β1? How would you interpret the estimate of β1?
- Is the estimate of β1 significantly different than 0? Assume an α = 0.01.
- What is a 95% confidence interval for β1? How would you interpret the 95% confidence interval for β1?
- If a new trucking and delivery company with 4,900 drivers were to be formed, how many trucks would you expect the company would employ based on the model?
APA format is not required, but solid academic writing is expected.
This assignment uses a grading rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are not required to submit this assignment to LopesWrite.
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MIS 660 Topic 7 Simple Regression Analysis GCU

MIS 660 Topic 7 Simple Regression Analysis GCU
ACCT 553 DeVry, BIAM 500 DeVry, CIS 500 STR, CIS 558 STR, ENG 105 GCU, FIN 390 DeVry, FIN 504 GCU, HCA 545 GCU, HCA 699 GCU, HLT 306 GCU, HLT 362 GCU, HLT 555 GCU, HLT 610 GCU, HLT 665 GCU, HOSP 594 DeVry, HRM 600 DeVry, MAT 144 GCU, MGMT 600, MGT 599 STR, MGT 655 GCU, MKT 373 GCU, PSY 362 GCU, PSY 565 GCU, PSY 575 GCU, PSY 665 GCU, SOC 102 GCU, SOC 320 GCU, SOC 372 GCU, SOC 412 GCU, NSG 6440 SU, HIM 515 GCU, NSG 4029 SU, HIM 615 GCU, NSG 3029 SU, NSG 4055 SU, NSG 6630 SU, NSG 6005 SU, CRMJ 310, PSY 510 GCU, CRMJ 300 Devry, CRMJ 425, SPD 200 GCU, HLT 490 GCU ,ECH 340 GCU , ECH 440 GCU , ECH 355 GCU ,ECH 350 GCU ,LDR 461 GCU ,ECH 425 GCU ,REL 212 STR ,SCI 115 STR ,CIS 505 STR ,JUS 652 GCU, MGT 640 GCU, CIS 527 STR, SOC 436 GCU,ACC 502 GCU, FIN 504 GCU , MATH 260 DeVry ,ETHC 445 DeVry ,ECET 220 DeVry , CARD 405 DeVry, NETW 203 DeVry, NETW 205 DeVry, ECET 365 DeVry ,MATH 270 DeVry ,PHYS 310 DeVry, BIB 106 GCU ,CIS 512 STR ,SYM 506 GCU ,ECN 601 GCU ,BIAM 570 DeVry, PSY 402 GCU , SOC 480 GCU , BIAM 530 DeVry, DNP 810 GCU , DNP 820 GCU , DNP 825 GCU , ECN 450 GCU , DNP 830 GCU , LDR 804 GCU , MAT 105 GCU , ECS 501 GCU , ECS 555 GCU , TSL 552 GCU , ECS 560 GCU , NRS 493 GCU , ECS 570 GCU , BUS 352 GCU , MIS 660 GCU
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