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Predicting final exam score based on 3 test scores, the prediction equation is: y^ = -6.72 + .26x1 + .39x2 + .90x3 with R2 =

  1. Predicting final exam score based on 3 test scores, the prediction equation is: y^ = -6.72 + .26x1 + .39x2 + .90x3 with R2 = .777 (where x1= test 1, x2= test 2 x3= test 3)
    1. Interpret R2.
    2. Interpret the slope for x3.
    3. A model without x1 found a very similar R2. Does that mean x1 has no effect on the final exam score? Explain.

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