Daily Coffee Consumption in Various Countries
Faculty Mentor
Mark Holmgren
Presentation Type
Poster
Start Date
May 2025
End Date
May 2025
Location
PUB NCR
Primary Discipline of Presentation
Economics
Abstract
This study investigates the mind-provoking questions of what independent variables affect the amount of coffee consumed in various countries. I hypothesized that independent variables such as age, income and average price of coffee played significant roles in answering this question, and the data supported that claim enormously. Further analyses concluded that for every additional dollar the price increases, the number of daily cups decreases by .468. Similarly, for each additional dollar of income that an individual receives, the number of daily cups of coffee increases by 5.264. Lastly, for each additional year of age for any given individual, the number of daily cups of coffee decreases by .009. Furthermore, the R-squared above implies that this summary output explains 99.04% of the data. These findings highlight the economic model in showing us how each of these variables intertwine and exactly how much impact the independent variables have on the dependent variable.
Recommended Citation
Nygard, Amanda Paulette, "Daily Coffee Consumption in Various Countries" (2025). 2025 Symposium. 4.
https://dc.ewu.edu/srcw_2025/ps_2025/p2_2025/4
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Daily Coffee Consumption in Various Countries
PUB NCR
This study investigates the mind-provoking questions of what independent variables affect the amount of coffee consumed in various countries. I hypothesized that independent variables such as age, income and average price of coffee played significant roles in answering this question, and the data supported that claim enormously. Further analyses concluded that for every additional dollar the price increases, the number of daily cups decreases by .468. Similarly, for each additional dollar of income that an individual receives, the number of daily cups of coffee increases by 5.264. Lastly, for each additional year of age for any given individual, the number of daily cups of coffee decreases by .009. Furthermore, the R-squared above implies that this summary output explains 99.04% of the data. These findings highlight the economic model in showing us how each of these variables intertwine and exactly how much impact the independent variables have on the dependent variable.
