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Predictive Model Variable Selection
Based on the strength of the relationships indicated by the correlation coefficients in the scenario below, which factor would be a more reliable predictor for the outcome variable? Justify your answer by explaining how the values of the coefficients support your choice.
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Perfect Positive Correlation
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A data scientist is studying the relationships between different variables. They calculate the following correlation coefficients:
- Relationship 1: Between hours spent studying and exam scores, the coefficient is +0.85.
- Relationship 2: Between daily screen time and sleep quality, the coefficient is -0.90.
- Relationship 3: Between daily water intake and commute time, the coefficient is +0.10.
Based on these coefficients, which statement accurately compares the strength of these relationships?
Predictive Model Variable Selection
A researcher has calculated the correlation coefficient between several pairs of variables. Arrange the following coefficients in order from the one representing the weakest relationship to the one representing the strongest relationship.
Identifying the Strongest Correlation Coefficient