# Linear regression

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Related to Linear regression: Multiple linear regression

## Linear regression

A statistical technique for fitting a straight line to a set of data points.

## Linear Regression

A statistical technique in which one takes a set of data points and plots them on a line. Linear regression is used to determine trends in economic data. For example, one may take different figures of GDP growth over time and plot them on a line in order to determine whether the general trend is upward or downward.
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In addition, Table 7 gives results of regression diagnostics (residual, and studentized residual) with the intention of determining unusual observations, undesirably influencing sum of error squares in multiple linear regression analysis.
However, use of factor scores together with multiple linear regression analysis is recommended for removing multicollinearity problem.
There are several variations to regression analysis such as multiple linear regression whereby a dependent variable is associated with more than one independent variable.
It seems that the urban areas are better represented when population data and kriging method are used rather than land use data and the linear regression plus kriging.
Although the simple linear regression model relating points per game (PPG) and average rebounds (AVGREBS) revealed the predicted equation of 2.
Linear regression is convenient for determining precisely how much each additional site, or square foot, or income received contributes to sale price or value.
The result of the analysis of multiple linear regression model of table 1 is obtained by the following equation:
Therefore, linear regression analysis can be done on the dataset in figure 1, but not on that in figure 2.

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