For this exercise, round all regression parameters to four decimal places. The following table shows the income, measured in thousands of dollars, from sales of a certain magazine at the start of the given year. Year 2004 2005 2006 2007 2008 Income 8.08 8.59 9.10 9.65 10.15 Find an exponential model for the income. (Let t be years since 2004 and S the income from sales, in thousands of dollars.) S=
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.
For this exercise, round all regression parameters to four decimal places.
The following table shows the income, measured in thousands of dollars, from sales of a certain magazine at the start of the given year.
| Year | 2004 | 2005 | 2006 | 2007 | 2008 |
|---|---|---|---|---|---|
| Income | 8.08 | 8.59 | 9.10 | 9.65 | 10.15 |
Find an exponential model for the income. (Let t be years since 2004 and S the income from sales, in thousands of dollars.)
S=
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