The average level of sugar consumption by a population was compared with the level of depression within the population for six different countries Sugar Consumption Depression Rate Korea 150 2.3 United States 300 3.0 France 350 4.4 Germany 375 5.0 Canada 390 5.2 New Zealand 480 5.7 Compute and interpret the correlation coefficient for these data. Is it reasonable to conclude that increasing sugar consumption leads to higher depression rates? Do you have any concerns with this study?
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
The average level of sugar consumption by a population was compared with the level of depression within the population for six different countries
|
|
Sugar Consumption |
Depression Rate |
|
Korea |
150 |
2.3 |
|
United States |
300 |
3.0 |
|
France |
350 |
4.4 |
|
Germany |
375 |
5.0 |
|
Canada |
390 |
5.2 |
|
New Zealand |
480 |
5.7 |
Compute and interpret the
Is it reasonable to conclude that increasing sugar consumption leads to higher depression rates?
Do you have any concerns with this study?
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