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Fitting lines through the scatter plot

15 February, 2016 - 09:58

A line through the scatter of points in Figure 2.5 shows the average relationship between mortgage rates and house prices. A challenge is to define the line that most accurately characterizes the relationship. This task is the job of econometricians, who practice econometrics. Econometrics is the science of examining and quantifying relationships between economic variables. It attempts to determine the separate influences of each variable, in an environment where many things move simultaneously.

\mid Econometrics is the science of examining and quantifying relationships between economic variables.

In two dimensions, the line drawn through the scatter is chosen to minimize the sum of distances (or distances squared) between the line and the various points. It is called a regression line or a trend line if the data are in time-series form. Computer algorithms that do this are plentiful, and fortunately computers can work in many dimensions in order to capture the influences of all the variables simultaneously 1 .

\mid Regression line: representation of the average relationship between two variables in a scatter diagram.

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Figure 2.5 House prices and the mortgage rate 
 
Table 2.4 Mortgage rates and house prices Canada 2007-2011
Year, quarter   5-year conventional mortgage rate Resale house price index 2006q4 = 100
2007Q1 6.5 108.4
2007Q2 7.2 118.4
2007Q3 7.2 128.7
2007Q4 7.5 139.4
2008Q1 7.2 150.5
2008Q2 7.2 157.1
2008Q3 6.9 160.9
2008Q4 6.8 157.2
2009Q1 5.8 149.2
2009Q2 5.8 143.4
2009Q3 5.5 142.2
2009Q4 5.5 149.9
2010Q1 5.9 167.3
2010Q2 5.9 183.7
2010Q3 5.4 195.4
2010Q4 5.2 207.5
2011Q1 5.3 218.5
2011Q2 5.4 231.0
2011Q3 5.2 246.9
2011Q4 5.3 262.5

Source: Mortgage rate: Statistics Canada, CANSIM Series V122521; Resale Housing Price index: www.royallepage.com, and authors’ calculations