A company is keen on investing in expanding its market penetration in Africa opening an on-line shop to new potential African clients. For this reason, the company wants to understand the level of digital divide, measured by the total number of internet users in relation to total population, as a function of clients’ personal characteristics. Considering the following analysis based on a survey conducted in two main markets, Nigeria and Kenya, we have the following information to estimate the digital divide: Age: respondent’s age from 25 to 55 years old. Gender: 1 female, 0 male. Education level measured as years of schooling. Region: Kenya =1, Nigeria =0. As part of their work they have produced the following linear regression. Comment on the statistical significance, relative strength and direction of the relationships between the dependent variable and the independent variables
A company is keen on investing in expanding its market penetration in Africa opening an on-line shop to new potential African clients. For this reason, the company wants to understand the level of digital divide, measured by the total number of internet users in relation to total population, as a
- Age: respondent’s age from 25 to 55 years old.
- Gender: 1 female, 0 male.
- Education level measured as years of schooling.
- Region: Kenya =1, Nigeria =0.
As part of their work they have produced the following linear regression.
Comment on the statistical significance, relative strength and direction of the relationships between the dependent variable and the independent variables
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