9. Statisticians use various models to make predictions about population growth. Ontario's population (in 100,000's) can be modelled by the relation P = 0.007x² + 0.19x + 21.5, where x is the number of years since 1900. Ontario's Population since 1900 a) Using the equation given by the model, what was Ontario's population in 1925? 120Y 100- 80 60- 40- 20- P= 0,007x² + 0.196x + 21,5 20 40 60 80 100 120 Number of years since 1900 b) According the equation given by the model, when will Ontario's population reach 20 million (so00 00L) uoendod
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.
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