The population growth of a city during a ten year period is shown in the table. Population Growth (hundreds of people) -10 Year 1990 1991 1992 -4 -6 1993 1994 1995 1996 1997 20 60 126 224 360 1998 1999 2000 a) Sketch a graph of the data, using the years since 1990 as the values of the independent variable. b) If x represents the number of years since 1990 (with 1990 being year 0), write the polynomial function that models the data. c) Explain the trends in population growth of the city.
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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