BUS 421 CH 14 Quiz

Sales = 37.69 + 1.23 * TVads. If you spend $2387 on TV advertising, your est guess at sales is A) Closer to $3000 B) Over $4000 C) Closer to $1000 D) Closer to $2000

A

The predicted response value is A) The response value that would be predicted for a given x value, based on the model B) The difference between the response value observed for a particular data point and the response value that would be predicted for a given x value based on the model C) The response value observed for a particular data point D) The sum of the response value observed for a particular data point and the response value that would be predicted for a given x value based on the model

A

A linear model A) Always predicts a curved line B) Always predicts a straight line C) Usually predicts a straight line D) Sometimes predicts a straight line and sometimes a curved line

B

What is not a valid transformation? * A) e^y (exponential) B) cos(y)(cosign of y) C) log(y)(natural logarithm - ln) D) y^2 (squared)

B

Refer to the coefficients image. What is the predicted score when homework is 100, clicker is 200, exam 1 is 150 and exam 2 is 140? A) Over 100% B) 39% C) 96% D) None of the above

C

Refer to the coefficients image.The follow output models the final exam score prediction based on homework, clicker, exam 1 and exam 2 scores. What variable is the most significant predictor of final exam score? A) Clicker average B) Homework average C) Exam 1 D) Exam 2

C

The residual is A) The sum of the response value observed for a particular data point and the response value that would be predicted for a given x value based on the model B) The response value observed for a particular data point C) The difference between the response value observed for a particular data point and the response value that would be predicted for a given x value based on the model D) The response value that would be predicted for a given x value, based on the model

C

Which is the objective of least square regression? A) Maximize the sum of squared residuals B) Maximize the square of the regression C) Minimize the sum of squared residuals D) Minimize the square of the regression

C

Refer to the coefficients image. What is the predicted final exam score for someone scoring a 0 on homework, clickers, exam 1, and exam 2? A) Cannot be determined B) 0 C) 35% D) 36%

D