A company has undertaken a study of 16 secretaries' yearly salaries (in thousands of dollars) .They want to predict salaries from several other variables.
The variables considered to be potential predictors of salary are:
X1 = months of service
X2 = years of education
X3 = score on standardized test
X4 = words per minute of typing speed
X5 = ability to take dictation in words per minute
A multiple regression model with all five variables was run,resulting in the following output: 
= 0.958
-Which measurement is the best predictor of salary,after allowing for the linear effects of the other variables in the model?
A) months of service
B) words per minute of typing speed
C) score on standardized test
D) years of education
E) ability to take dictation in words per minute
Correct Answer:
Verified
Q1: Write the equation of the regression model.
A)Weight
Q2: Every extra metre of the length adds
Q3: Interpret the R-squared value of 95.8%.
A)The average
Q7: This model fits 96% of the data
Q10: An anti-smoking group used data in the
Q11: A health specialist gathered the data in
Q12: Use the following computer data,which refers
Q17: Interpret the R-squared value of 84.5%.
A)84.5% of
Q19: What is the regression equation?
A)salary = 11.58
Q20: What is the regression equation?
A)calories = 5.984
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents