DA0-002 Data Analysis Practice Question
In a multiple regression model with three predictors, the coefficient for one predictor is 5.2 with a p-value of 0.001. Which of the following is the best interpretation?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The predictor has a statistically significant effect on the dependent variable, controlling for other variables.
The coefficient indicates the change in the dependent variable for a one-unit increase in the predictor, holding other predictors constant.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The predictor explains 5.2% of the variance in the dependent variable.
Why it's wrong here
Coefficient is not R-squared.
- ✗
A one-unit increase in the predictor decreases the dependent variable by 5.2 units, on average.
Why it's wrong here
Positive coefficient indicates increase.
- ✗
The model is not a good fit because one predictor is significant.
Why it's wrong here
Significance is desirable.
- ✓
The predictor has a statistically significant effect on the dependent variable, controlling for other variables.
Why this is correct
p < 0.05 indicates significance, and 'holding constant' is key.
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