Is a linear model appropriate for this type of data? Explain.
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.
Is a linear model appropriate for this type of data? Explain.
![The table and graph below show the population of the United States in millions for each of the census years since 1900
US Population (millions)
Year
350+
1900
76
-300-
1910
92
1920
106
-250
1930
123
1940
142
-200-
1950
161
1960
189
-150-
1970
213
1980
237
-100-
1990
259
-50-
2000
291
2010
309
20 3.
450.
1.1).
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