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FOR SCOTT: http://www.sendspace.com/filegroup/0%2BYudTUQHdQCIikv8thCqQ 1. The variation in...

FOR SCOTT:

http://www.sendspace.com/filegroup/0%2BYudTUQHdQCIikv8thCqQ

1. The variation in the sample y values that is explained by the estimated linear relationship between x and y is given by the:

error sum of squares/total sum of squares/regression sum of squares,

which for these data is

1397.3720/1061.2926/333.8251

2. The proportion of the total variation in the sample y values that can be explained by the estimated linear relationship between x and y is _______. (Round to 2 places)

3. For the data point (137.1, 129.8), the value of the residual is ______ (round to 2 places)

4. The least-squares regression line given above is said to be a line which "best fits" the sample data. The term "best fits" is used because the line has an equation that minimizes the error sum of squares/total sum of squares/regression sum of squares, which for these data is 1397.3720/1061.2926/333.8251

http://www.sendspace.com/filegroup/0%2BYudTUQHdQCIikv8thCqQ

1. The variation in the sample y values that is explained by the estimated linear relationship between x and y is given by the:

error sum of squares/total sum of squares/regression sum of squares,

which for these data is

1397.3720/1061.2926/333.8251

2. The proportion of the total variation in the sample y values that can be explained by the estimated linear relationship between x and y is _______. (Round to 2 places)

3. For the data point (137.1, 129.8), the value of the residual is ______ (round to 2 places)

4. The least-squares regression line given above is said to be a line which "best fits" the sample data. The term "best fits" is used because the line has an equation that minimizes the error sum of squares/total sum of squares/regression sum of squares, which for these data is 1397.3720/1061.2926/333.8251

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