Mgt 6203 midterm part 2 Study guides, Class notes & Summaries

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 MGT 6203 MIDTERM PART 2– SOLUTION KEY CODING QUESTIONS with ANSWERS
  • MGT 6203 MIDTERM PART 2– SOLUTION KEY CODING QUESTIONS with ANSWERS

  • Exam (elaborations) • 15 pages • 2021
  • MIDTERM – SOLUTION KEY CODING QNS Q21) Please estimate a linear regression model (using the lm function) with Personal as the dependent variable and Room.Board as the independent variable. What are the model’s Rsquared and adjusted R-squared values? a) 0.00549, 0.048 b) 0.0143, 0.022 c) 0.0398, 0.0385 d) 0.0325, 0.0336 Answer: C (Week 1 Lesson 4) library("ISLR") data("College") summary(lm(College$Personal~College$Room.Board)) ## ## Call: ## lm(formula = College$Personal ~ Co...
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MGT 6203 MIDTERM PART 2– SOLUTION KEY CODING QUESTIONS with ANSWERS
  • MGT 6203 MIDTERM PART 2– SOLUTION KEY CODING QUESTIONS with ANSWERS

  • Exam (elaborations) • 15 pages • 2022
  • MGT 6203 MIDTERM PART 2– SOLUTION KEY CODING QUESTIONS with ANSWERS Week 1 Use the inbuilt dataset ‘longley’ for questions 1 and 2. Q1) Fit a linear regression model with ‘Employed’ as the response variable and all other variables (except ‘Year’) as predictors. What are the significant predictors at 10% significance level? A. GNP B. GNP, Armed.Forces C. GNP, Unemployed, Population D. None of the predictors are significant at 10% significance level Solution: model1 = lm(E...
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MGT 6203 MIDTERM - SOLUTION KEY - PART 2
  • MGT 6203 MIDTERM - SOLUTION KEY - PART 2

  • Exam (elaborations) • 15 pages • 2021
  • MIDTERM – SOLUTION KEY CODING QNS Q21) Please estimate a linear regression model (using the lm function) with Personal as the dependent variable and Room.Board as the independent variable. What are the model’s Rsquared and adjusted R-squared values? a) 0.00549, 0.048 b) 0.0143, 0.022 c) 0.0398, 0.0385 d) 0.0325, 0.0336 Answer: C (Week 1 Lesson 4) library("ISLR") data("College") summary(lm(College$Personal~College$Room.Board)) ## ## Call: ## lm(formula = College$Personal ~ C...
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MGT 6203 MIDTERM EXAM SOLUTIONS PART 2 – CODING | ALL ANSWERS CORRECT
  • MGT 6203 MIDTERM EXAM SOLUTIONS PART 2 – CODING | ALL ANSWERS CORRECT

  • Exam (elaborations) • 16 pages • 2021
  • Week 1 Use the inbuilt dataset ‘longley’ for questions 1 and 2. Q1) Fit a linear regression model with ‘Employed’ as the response variable and all other variables (except ‘Year’) as predictors. What are the significant predictors at 10% significance level? A. GNP B. GNP, Armed.Forces C. GNP, Unemployed, Population D. None of the predictors are significant at 10% significance level Solution: model1 = lm(Employed~.-Year, data = longley) summary(model1) ## ## Call: ## lm(f...
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Exam (elaborations) MGT 6203/MGT 6203 MIDTERM – SOLUTION KEY PART 2 CODING QUESTIONS WITH ANSWERS.
  • Exam (elaborations) MGT 6203/MGT 6203 MIDTERM – SOLUTION KEY PART 2 CODING QUESTIONS WITH ANSWERS.

  • Exam (elaborations) • 15 pages • 2021
  • MGT 6203 MIDTERM – SOLUTION KEY PART 2 CODING QUESTIONS WITH ANSWERS.) Please estimate a linear regression model (using the lm function) with Personal as the dependent variable and Room.Board as the independent variable. What are the model’s Rsquared and adjusted R-squared values? a) 0.00549, 0.048 b) 0.0143, 0.022 c) 0.0398, 0.0385 d) 0.0325, 0.0336 Answer: C (Week 1 Lesson 4) library("ISLR") data("College") summary(lm(College$Personal~College$Room.Board)) ## ## Call: ## lm(formula = Co...
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