The table below shows the murder rate per 100,000 residents for a large American city over a twelve-year period.
Year | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Rate | 8.8 | 7.1 | 7.2 | 6.8 | 6.4 | 7.1 | 5.8 | 6.1 | 5.4 | 6.2 | 6.1 | 4.9 |
Enter the coefficients of the regression line for this data, rounding each to two decimal places: | ||||
Slope: | Intercept: | |||
Use your regression line (with rounded coefficients) to estimate this city’s murder rate in 2012. Round your answer to the nearest tenth. | ||||
Estimate: |
Sum of X = 24066
Sum of Y = 77.9
Mean X = 2005.5
Mean Y = 6.4917
Sum of squares (SSX) = 143
Sum of products (SP) = -34.05
Regression Equation = ŷ = bX + a
b = SP/SSX = -34.05/143 =
-0.24
a = MY - bMX = 6.49 -
(-0.24*2005.5) = 484.03
ŷ = -0.24X + 484.03
Slope: -0.24 Intercept:484.03
For x=2012
ŷ = (-0.24*2012) + 484.03=1.15
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