Using the estimated regression equation to predict salary for 10 years of experience gives the following results. Which of the following is true?
A) 95% of pharmacists with 10 years of experience earn between $38,960 and $65,130.
B) 95% of pharmacists with 10 years of experience earn between $48,010 and $56,080.
C) We are 95% confident that a particular pharmacist who has 10 years of experience earns between $38,960 and $65,130.
D) We are 95% confident that a particular pharmacist who has 10 years of experience earns between $48,010 and $56,080.
E) 52.05% of pharmacists with 10 years of experience on average earn between $48,010 and $56,080.

Question

Using the estimated regression equation to predict salary for 10 years of experience gives the following results.  Which of the following is true?
A) 95% of pharmacists with 10 years of experience earn between $38,960 and $65,130. 
B) 95% of pharmacists with 10 years of experience earn between $48,010 and $56,080. 
C) We are 95% confident that a particular pharmacist who has 10 years of experience earns between $38,960 and $65,130. 
D) We are 95% confident that a particular pharmacist who has 10 years of experience earns between $48,010 and $56,080. 
E) 52.05% of pharmacists with 10 years of experience on average earn between $48,010 and $56,080.

Quizplus · Accepted Answer

The Answer of Using the estimated regression equation to predict salary for 10 years of experience gives the following results.  Which of the following is true?
A) 95% of pharmacists with 10 years of experience earn between $38,960 and $65,130. 
B) 95% of pharmacists with 10 years of experience earn between $48,010 and $56,080. 
C) We are 95% confident that a particular pharmacist who has 10 years of experience earns between $38,960 and $65,130. 
D) We are 95% confident that a particular pharmacist who has 10 years of experience earns between $48,010 and $56,080. 
E) 52.05% of pharmacists with 10 years of experience on average earn between $48,010 and $56,080.

Using the Estimated Regression Equation to Predict Salary for 10