BMT 15 - Simple Linear Regression (HL - Unit 2) Flashcards

1
Q

Simple Linear Regression

A

Quantitative tool that allows us to see whether two variables are related

We will have a dependent and one independent variables and see

  • If we change the independent variable does the dependent variable also change?
  • E.g. if a business increases its marketing budget, will sales increase?
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2
Q

Strong Positive Correlation

A
  • If the independent variable increases, so does the dependent variable
  • The data points are close to the line of best fit
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3
Q

Weak Positive Correlation

A
  • If the independent variable increases, so does the dependent variable
  • The data points are not always close to the line of best fit
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4
Q

Strong Negative Correlation

A
  • If the independent variable increases, the dependent variable decreases
  • The data points are close to the line of best fit
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5
Q

Weak Negative Correlation

A
  • If the independent variable increases, dependent variable decrease
  • The data points are not always close to the line of best fit
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6
Q

Positive Correlation

A

Marketing Budget - Sales Revenue

Salaries - Average employee years of service

Employee Training Hours - Employee Productivity

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7
Q

Negative Correlation

A

Customer Satisfaction - Return Rate

Employee Burnout - Employee Productivity

Employee Turnover - Average Salary

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