Sample data Calculations X Y 563 773 591 671 640 632 710 605

Sample data

Calculations

X Y
56.3 77.3
59.1 67.1
64.0 63.2
71.0 60.5
73.9 55.7

Solution

1. The variation in the sample y values that is explained by the estimated linear relationship between x and y is given by the_regression sum of squares____ (regression sum of squares, total sum of squares, error sum of squares) which for these data is___226.9765___(37.2925, 265.3920, 226.9765.)

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 your answer to at least 2 decimal places.)

= 226.9765/265.3920

= 0.86 Answer

3. For the data point (59.1, 67.1), the value of the residual is sqrt(13.6161) = 3.69 Answer (Round your answer to at least 2 decimal 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___ (regression sum of squares, total sum of squares, error sum of squares), which for these data is_37.2925__ (37.2925, 265.3920, 226.9765).

Sample data Calculations X Y 56.3 77.3 59.1 67.1 64.0 63.2 71.0 60.5 73.9 55.7 Solution1. The variation in the sample y values that is explained by the estimate

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