Identify: What would be a good research question for each explanatory variable? Q1: Q2: Who and what would be the individual sampling unit? (What will the observations be(not variable)? Who would be the population of interest? Use this dataset for the questions(data was extracted from a larger dataset): Occupatio Monthly Income Credit Sco Years of Employme Finance Status Teacher 40000 750 10 Good Engineer 60000 800 8 Good Nurse 25000 650 5 Fair Doctor 80000 900 Businessm 100000 700 Engineer 750 Teacher 700 Nurse 600 850 800 Businessm Doctor Engineer Salespersc Teacher Entreprene Numeric Explanatory Variable, Categorical Explanatory Variable, Binary Categorical Explanatory variable, Response variable Lawyer Doctor Accountan Software [ Nurse Electrician Architect Marketing Chef Police Offi Real Estat 50000 35000 20000 120000 90000 6000 3000 4000 8000 9000 12000 5000 7000 3500 2500 5500 4500 3000 4000 6000 700 600 750 800 820 900 720 780 650 550 740 690 620 680 760 12 Excellent 15 Good 6 Fair 8 Fair 3 Poor 20 Excellent 10 Good 3 Good 1 Fair 5 Excellent 7 Good 10 Excellent 12 Excellent 4 Good 6 Excellent 2 Fair 1 Poor 8 Good 4 Fair 2 Fair 3 Fair 5 Good Car Finance History No issues Yes No issues Yes Late payment 2 months ag No No issues Yes Late payment 6 months ag Yes No issues No Late payment 3 months ag Yes Late payment 1 month agc No No issues Yes No issues Yes Excellent Poor Excellent Excellent Good Excellent Fair Good Poor Poor Excellent Fair Poor Fair Good Yes No Yes Yes Yes Yes No Yes No No Yes No No No Yes Number of Childre 2 1 0 3 2 1
Identify: What would be a good research question for each explanatory variable? Q1: Q2: Who and what would be the individual sampling unit? (What will the observations be(not variable)? Who would be the population of interest? Use this dataset for the questions(data was extracted from a larger dataset): Occupatio Monthly Income Credit Sco Years of Employme Finance Status Teacher 40000 750 10 Good Engineer 60000 800 8 Good Nurse 25000 650 5 Fair Doctor 80000 900 Businessm 100000 700 Engineer 750 Teacher 700 Nurse 600 850 800 Businessm Doctor Engineer Salespersc Teacher Entreprene Numeric Explanatory Variable, Categorical Explanatory Variable, Binary Categorical Explanatory variable, Response variable Lawyer Doctor Accountan Software [ Nurse Electrician Architect Marketing Chef Police Offi Real Estat 50000 35000 20000 120000 90000 6000 3000 4000 8000 9000 12000 5000 7000 3500 2500 5500 4500 3000 4000 6000 700 600 750 800 820 900 720 780 650 550 740 690 620 680 760 12 Excellent 15 Good 6 Fair 8 Fair 3 Poor 20 Excellent 10 Good 3 Good 1 Fair 5 Excellent 7 Good 10 Excellent 12 Excellent 4 Good 6 Excellent 2 Fair 1 Poor 8 Good 4 Fair 2 Fair 3 Fair 5 Good Car Finance History No issues Yes No issues Yes Late payment 2 months ag No No issues Yes Late payment 6 months ag Yes No issues No Late payment 3 months ag Yes Late payment 1 month agc No No issues Yes No issues Yes Excellent Poor Excellent Excellent Good Excellent Fair Good Poor Poor Excellent Fair Poor Fair Good Yes No Yes Yes Yes Yes No Yes No No Yes No No No Yes Number of Childre 2 1 0 3 2 1
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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