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The regression equation for these data is = 55.2 + 0.3708x,where x is the score on Test 2 and is the expected score onTest 3.

The regression equation for these data is = 55.2 + 0.3708x,where x is the score on Test 2 and is the expected score onTest 3. The mean for Test 2 was 79.80 and the mean for Test3 was 84.80.

If a student scores 56.3 on Test 2, what is their predicted score for Test 3? If that student then actually gets 83.0 on Test 3, what is the residual? Round your answers to 1 decimal place, e.g. 25.6

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