Regression equation y = 101 - 0.45x (x = time spent on a test, y = test score) What is the appropriate interpretation of this equation?
An increase of 1 minute in time is associated with a decrease in the test score of 0.45.
The regression equation indicates that for every additional minute spent on the test, the test score decreases by 0.45 points, highlighting the negative relationship between time spent and test performance in this context.
This interpretation incorrectly suggests a positive relationship. The coefficient 101 does not represent a change in test score per unit of time; rather, it is the y-intercept of the regression equation, which indicates the predicted test score when time spent is zero.
This choice misinterprets the regression equation by suggesting a large positive increase in test score related to time spent. The equation clearly shows that an increase in time results in a decrease in score, specifically by 0.45 points, not an increase.
This option incorrectly states the relationship and the units involved. The regression equation indicates that an increase of 1 minute leads to a decrease of 0.45 in the test score, not a decrease of 1, and the time increment is not 0.45 minutes.
The regression equation clearly indicates a negative correlation between time spent on the test and test scores. Specifically, an increase of 1 minute in time results in a decrease of 0.45 points in the test score. Understanding this relationship is crucial for interpreting the impact of test duration on performance effectively.
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