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Please explain your answers, thank you. Context for the Assignment All questions relate to the descriptive analysis of a dataset (see file on Brightspace-Ass.3- Excel

Please explain your answers, thank you.

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Context for the Assignment All questions relate to the descriptive analysis of a dataset (see file on Brightspace-Ass.3- Excel Data/Minitab Data) originating from the Labour Force Survey conducted by Statistics Canada and which include annual salaries of 674 managers in 7 industries located in Ontario and Quebec by gender, education, sector, age, and months of experience. Definitions of variables Quantitative variables (3): AGE: age of respondent (in years, rounded based on date of birth) > EXPERIENCE: # of months in current job ANNUAL SALARY: dollars ($Can) Categorical variables (5): PROVINCE: Quebec = 24; Ontario = 35 GENDER: Male =1; Female = 2 AAA EDUCATION: University graduation = 1; No university graduation = 0 SECTOR: Private = 0; Public = 1 INDUSTRY: 8 Retail Trades 10 Finance, insurance, and property management 12 Business management, administration, and other services 13 Education 14 Health and Social Assistance 16 Hotel and Restauration 18 Public Administration Use the Recode command in Minitab (under the Data tab) to replace codes by their corresponding textual values. In Excel, use the Find/Replace command.5) 3) 7) Does the Annual salary variable differ by industry? You may restrict your solution to an appropriate graphical display; be sure to add some discussion of the results you observe by industry. (3 points) Examine the relationship between the variables Age and Annual salary using an appropriate graphical display. (5 points) a) Provide appropriate graphical display. b) Provide appropriate quantitative summaries. c) Discuss and interpret results (does it make sense?). Examine the correlation matrix between the variables Age, Experience and Annual salary. (7 points) a) Produce the correlation matrix. b) Explain what it represents and how it should be interpreted. c) How would the correlation matrix change if all individual values of Experience were increased by 60 months? d) What would happen if you included gender as one of the variables in your correlation matrix computation

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