Events & Promotions
|
|
GMAT Club Daily Prep
Thank you for using the timer - this advanced tool can estimate your performance and suggest more practice questions. We have subscribed you to Daily Prep Questions via email.
Customized
for You
Track
Your Progress
Practice
Pays
Not interested in getting valuable practice questions and articles delivered to your email? No problem, unsubscribe here.
Nov 2007:30 AM PST
-08:30 AM PST
Learn what truly sets the UC Riverside MBA apart and how it helps in your professional growth
Nov 2001:30 PM EST
-02:30 PM IST
Learn how Kamakshi achieved a GMAT 675 with an impressive 96th %ile in Data Insights. Discover the unique methods and exam strategies that helped her excel in DI along with other sections for a balanced and high score.
Nov 1912:30 PM EST
-01:30 PM EST
Learn how Keshav, a Chartered Accountant, scored an impressive 705 on GMAT in just 30 days with GMATWhiz's expert guidance. In this video, he shares preparation tips and strategies that worked for him, including the mock, time management, and more
Nov 2211:00 AM IST
-01:00 PM IST
Do RC/MSR passages scare you? e-GMAT is conducting a masterclass to help you learn – Learn effective reading strategies Tackle difficult RC & MSR with confidence Excel in timed test environment- Nov 23
11:00 AM IST
-01:00 PM IST
Attend this free GMAT Algebra Webinar and learn how to master the most challenging Inequalities and Absolute Value problems with ease. 
Nov 2407:00 PM PST
-08:00 PM PST
Full-length FE mock with insightful analytics, weakness diagnosis, and video explanations!
Nov 2510:00 AM EST
-11:00 AM EST
Prefer video-based learning? The Target Test Prep OnDemand course is a one-of-a-kind video masterclass featuring 400 hours of lecture-style teaching by Scott Woodbury-Stewart, founder of Target Test Prep and one of the most accomplished GMAT instructors.
21 Oct 2024, 06:26
Kudos
Bookmarks
I recently analyzed 100 GMAT score reports (from East Asian test-takers) to see how Quant (Q), Verbal (V), and Data Insights (DI) percentiles impact the total GMAT score. I ran a regression analysis to understand the relationship between these components and the overall score. Here’s a breakdown of my findings:
(Photo in Attachment)
GPT's interpretation:
Model Accuracy (R-squared)
The R-squared value of the regression model came out to 0.968, meaning the model explains 96.8% of the variation in total scores. In other words, Q, V, and DI have a huge impact on the total score, and the model is highly accurate.
Regression Coefficients
Intercept (constant): -17.9639 While this indicates that the total score would be around -17.96 when Q, V, and DI are zero, it doesn’t have much real-world meaning, since percentiles can't actually be negative.
Quant (Q): 0.5404 For every 1-point increase in the Quant percentile, the total score increases by about 0.54 points. This suggests that Quant has the largest impact on the total score among the three sections.
Verbal (V): 0.3159 A 1-point increase in the Verbal percentile leads to a 0.32-point increase in the total score.
Data Insights (DI): 0.4589 Every 1-point increase in the DI percentile raises the total score by roughly 0.46 points.
Statistical Significance (P-values)
The P-values for all three predictors (Q, V, and DI) are extremely close to 0, which means that these factors are statistically significant. Their influence on the total GMAT score is not due to random chance.
--
In short, Quant clearly has the most substantial effect on the total score, but all three components matter.
Anyone else geek out on GMAT stats like this? It seems like investing effort into Quant and DI yields the highest return for improving GMAT total score.
(Photo in Attachment)
GPT's interpretation:
Model Accuracy (R-squared)
The R-squared value of the regression model came out to 0.968, meaning the model explains 96.8% of the variation in total scores. In other words, Q, V, and DI have a huge impact on the total score, and the model is highly accurate.
Regression Coefficients
Intercept (constant): -17.9639 While this indicates that the total score would be around -17.96 when Q, V, and DI are zero, it doesn’t have much real-world meaning, since percentiles can't actually be negative.
Quant (Q): 0.5404 For every 1-point increase in the Quant percentile, the total score increases by about 0.54 points. This suggests that Quant has the largest impact on the total score among the three sections.
Verbal (V): 0.3159 A 1-point increase in the Verbal percentile leads to a 0.32-point increase in the total score.
Data Insights (DI): 0.4589 Every 1-point increase in the DI percentile raises the total score by roughly 0.46 points.
Statistical Significance (P-values)
The P-values for all three predictors (Q, V, and DI) are extremely close to 0, which means that these factors are statistically significant. Their influence on the total GMAT score is not due to random chance.
--
In short, Quant clearly has the most substantial effect on the total score, but all three components matter.
Anyone else geek out on GMAT stats like this? It seems like investing effort into Quant and DI yields the highest return for improving GMAT total score.
Attachments
i-did-a-regression-analysis-on-100-gmat-score-reports-heres-v0-zo6rmkd0q3wd1.png.webp [ 98.85 KiB | Viewed 940 times ]
Moderator:
