The line chart, below, displays projections for all 3 dependency ratios. Age Dependency Ratio Projections 90.0 y = 1.43x + 62.867 R = 0.7829 80.0 www. 70.0 60.0 50.0 40.0 30.0 y = -0.2633x +37.146 R = 0.8798 20.0 y = 1.6933x + 25.721 R = 0.8564 10.0 0.0 2015 2020 2025 2030 2035 child dependency ratio 2040 2045 2050 2055 2060 old age dep ratio age dependency ratio Linear (old age dep ratio) Linear (old age dep ratio) Linear (child dependency ratio) Linear (child dependency ratio) ***...... Linear (child dependency ratio) Linear (age dependency ratio) **....... Linear (age dependency ratio)
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.
Give an explanation as to why you think the Old Age Dependency and Child Dependency Ratios cross around 2033.
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