The phrase "a much better predictor" is correct and usable in written English.
You can use it when comparing the predictive power of two or more factors, indicating that one is significantly more effective than the others.
Example: "In our study, we found that the new model is a much better predictor of outcomes than the previous version."
Alternatives: "a far superior predictor" or "a significantly better forecaster".
Together, these findings suggest that relative income is a much better predictor of well-being than absolute income.
D-value was a much better predictor of SDMI than CP (R2 within experiment 0.71 vs. 0.26).
"Our research shows that post-16 examination performance is a much better predictor of degree success at Cambridge," a spokesperson said.
Political scientists have found that the presidential approval rating is a much better predictor of how the president's party will fare in the midterms.
Although we imagine ourselves to be so unique as to be unable to use random people's experience as a guide to personal fulfillment, Gilbert shows how this is actually a much better predictor of happiness than our own wishful thinking.
But after doing a proper statistical analysis, the A's front office recognized that a player's ability to get on base was a much better predictor of how many runs he would score.
And some features of the cascade a much better predictors and others.
Numerous studies consistently substantiate the asleep BP mean is both an independent and much better predictor of cardiovascular disease (CVD) risk than either the awake or 24 h means.
We support this theory since the self-reported judgments of learning serve as much better predictor of the fuel-consumption reduction between run 2 and run 4 of the experimental group than the results of the SAS questionnaire (Table 5).
Six-fold is a dramatic difference, and what's more, the unconscious associations were a much better suicide predictor than depression, previous suicide attempts, or the intuition of the attending clinician.
A psychologist would have known at the outset that tests of this nature hardly ever work, and that there are much better predictors of who will get hired and how they will perform.
