Internet use in Canada. A study used data from the Canadian Internet Use Survey (CIUS) to explore the relationship between certain demographic variables and Internet use by individuals in Canada.7 The dependent variable refers to the use of the Internet from any location within the last 12 months. Explanatory variables included age (years), income (thousands of dollars), location (1 = urban, 0 = other), sex (1 = male, 0 = female), education (1 = at least some postsecondary education, 0 = other), language (1 = English, 0 = French), and children (1 = at least one child in household, 0 = no children). The following table summarizes the results:
|
Explanatory variable
|
b
|
|
Age
|
-0.063
|
|
Income
|
0.013
|
|
Location
|
0.367
|
|
Sex
|
-0.222
|
|
Education
|
1.080
|
|
Language
|
0.285
|
|
Children
|
0.049
|
|
Intercept
|
2.010
|
All but Children was significant at the 0.05 level.
(a) Interpret the sign of each of the coefficients (except intercept) in terms of the probability that the individual uses the Internet.
(b) Compute the odds ratio for each of the variables in the table.
(c) What are the odds that a French-speaking, 23-year-old male who lives alone in Montreal and makes $50,000 a year his second year after college is using the Internet?
(d) Convert the odds in part (c) to a probability.