What predicts the amount of time that people spend on the Internet? Based on 2016 GSS data, the regression of hours per week on the Internet (Y) on age, education (number of years completed), and verbal ability (number of correct words on a ten-item vocabulary test) produced the following equation:
Y = 9.327 - .161Age + .348Educ + .489Verbal
a. Explain the meaning of the regression coefficient for Educ (years of education completed)?
b. How much does hours on the Internet change for each increase of one year in a respondent's age?
c. Calculate the number of hours per week on the Internet for a 30-year-old with 16 years of education who got all ten words correct on the vocabulary test.
Using standardized regression coefficients, the multiple regression of Internet hours has the following values (all coefficients are statistically significant):
Y = - .179Age + .065Educ + .064Verbal
d. Which variable has the largest effect on weekly hours on the Internet?
Correct Answer:
Answered by Quizplus AI
View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Q42: R2 is a popular measure of how
Q43: Multiple regression is limited to the analysis
Q44: A dummy variable is a dichotomous variable
Q45: To determine which independent variable has the
Q46: Path analysis provides quantitative estimates of both
Q47: Draw an arrow diagram representing a causal
Q48: Explain the differences between the ideal elaboration
Q49: Explain the difference between the regression coefficient
Q50: The following tables show the relationship, for
Q52: Someone at your college conducts a survey
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