Age and salary

For the employees of Te Awa law firm, how does an employee’s age (in years)  determine his or her annual salary (in dollars)?

What is the population?

• the employees of Te Awa law firm

• employee’s age (in years)

• annual salary (in dollars)

For the employees of Te Awa law firm, how does an employee’s age (in years)  determine his or her annual salary (in dollars)?

What is the response variable?

• the employees of Te Awa law firm

• employee’s age (in years)

• annual salary (in dollars)

For the employees of Te Awa law firm, how does an employee’s age (in years)  determine his or her annual salary (in dollars)?

What is the explanatory variable?

• the employees of Te Awa law firm

• employee’s age (in years)

• annual salary (in dollars)

What is the regression equation?

• salary = 5 687 age - 114 700

• 5 687

• 114 700

• 172

• 0.89

What is the number of employees?

• salary = 5 687 age - 114 700

• 5 687

• 114 700

• 172

• 0.89

What is the gradient?

• salary = 5 687 age - 114 700

• 5 687

• 114 700

• 172

• 0.89

What is the y-intercept?

• salary = 5 687 age - 114 700

• 5 687

• 114 700

• 172

• 0.89

What is the regression coefficient?

• salary = 5 687 age - 114 700

• 5 687

• 114 700

• 172

• 0.89

In this company there is a ____, _____ relationship between age and salary.

• strong, positive

• weak, positive

• strong, negative

• weak, negative