BMT 15 - Simple Linear Regression (HL)

Question 1

Simple Linear Regession

Answer 1

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?

Question 2

Strong Positive Correlation

Answer 2

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

Question 3

Weak Positive Correlation

Answer 3

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

Question 4

Strong Negative Correlation

Answer 4

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

Question 5

Weak Negative Correlation

Answer 5

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

Question 6

Positive Correlation

Answer 6

Marketing Budget - Sales Revenue

Salaries - Average employee years of service

Employee Training Hours - Employee Productivity

Question 7

Negative Correlation

Answer 7

Customer Satisfaction - Return Rate

Employee Burnout - Employee Productivity

Employee Turnover - Average Salary