Researchers Alfred P. Rovai and Marcus D. Childress asked the following question: How can resistance to reduction
Question:
x1: Computer confidence on a scale from 10 to 40, with higher scores indicating higher confidence
x2: Computer knowledge on a scale from 0 to 33, with 0 indicating no computer knowledge and 33 indicating superior computer knowledge
x3: Computer liking on a scale from 10 to 40, with higher scores indicating a greater like of computers
x4: Trait anxiety on a scale from 20 to 80, with higher scores indicating a higher level of overall anxiety
The multiple regression model was
Y̅ = 84.04 - 0.87x1 - 0.51x2 - 0.45x3 + 0.33x4
(a) The reported P-value of the regression model was less than 0.0001. Would you reject the null hypothesis
H0: β1 = β2 = β3 = β4 = 0?
(b) Interpret the slope coefficients of the model in part (a). Are they all reasonable?
(c) Predict the computer anxiety score of an individual whose computer confidence score was 25, computer knowledge score was 19, computer liking score was 20, and trait anxiety score was 43.
(d) The coefficient of determination for this model is 0.69. Interpret this value.
(e) The article states that "regression assumptions were tested and found to be tenable." Explain what this means.
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Related Book For
Statistics Informed Decisions Using Data
ISBN: 9780134133539
5th Edition
Authors: Michael Sullivan III
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