In the 5 models above, which variable, by itself, explains the greatest proportion of total variance in Y? What is this proportion of variance explained by this predictor alone? Regression formulaIntercept PPredictor PY = 105.055 + 0.4306 * X10.0496<0.0001Y = 949.90 - 0.06169 * X2<0.00010.3974Y = 58.286 + 13.7604 * X30.7657<0.0001Y = -105.755 + 24.736 * X40.81400.0204Y = 182.828 + 0.600* X50.1569<0.0001

Predictor P for variable X3 is larger among all other variables. Hence variable X3 explains that…

Answered: In the 5 models above, which variable,…

In the 5 models above, which variable, by itself, explains the greatest proportion of total variance in Y? What is this proportion of variance explained by this predictor alone?

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter4: Polynomial And Rational Functions

Section4.6: Variation

Problem 37E

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Question

In the 5 models above, which variable, by itself, explains the greatest proportion of total variance in Y? What is this proportion of variance explained by this predictor alone?

Regression formula
Intercept P
Predictor P
Y = 105.055 + 0.4306 * X1
0.0496
<0.0001
Y = 949.90 - 0.06169 * X2
<0.0001
0.3974
Y = 58.286 + 13.7604 * X3
0.7657
<0.0001
Y = -105.755 + 24.736 * X4
0.8140
0.0204
Y = 182.828 + 0.600* X5
0.1569
<0.0001

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