The Correlation of the Popularity of E-commerce Websites and the 6 Metrics of the Lighthouse Performance Score
School Name
Spring Valley High School
Grade Level
11th Grade
Presentation Topic
Consumer Science
Presentation Type
Non-Mentored
Abstract
The research analyzes the correlation between the popularity of E-commerce websites and their Lighthouse Performance Scores while placing a focus on six key metrics: First Contentful Paint (FCP), Largest Contentful Paint (LCP), Speed Index (SI), Time to Interactive (TTI), Total Blocking Time (TBT), and Cumulative Layout Shift (CLS). The purpose of the study is to identify whether Lighthouse scores have an impact on user numbers, which then can assist in further developing other websites. In the study, the top 50 E-commerce websites were analyzed using webpagetest.org’s Lighthouse feature. It was hypothesized that the most popular websites would have the fastest Lighthouse performance scores. Figures 2-7 show that the data that was collected for each metric has scattered points throughout the graph, indicating that there is not a clear correlation curve present. Additionally, Tables 7-12 show how the correlation regression test provided P-values that were greater than the alpha value of 0.05. The findings failed to reject the null hypothesis showing that the demand for a website does not correlate to the Lighthouse Performance Scores in terms of these six metrics.
Recommended Citation
Thomas, Isabel, "The Correlation of the Popularity of E-commerce Websites and the 6 Metrics of the Lighthouse Performance Score" (2024). South Carolina Junior Academy of Science. 478.
https://scholarexchange.furman.edu/scjas/2024/all/478
Location
RITA 371
Start Date
3-23-2024 11:15 AM
Presentation Format
Oral and Written
Group Project
No
The Correlation of the Popularity of E-commerce Websites and the 6 Metrics of the Lighthouse Performance Score
RITA 371
The research analyzes the correlation between the popularity of E-commerce websites and their Lighthouse Performance Scores while placing a focus on six key metrics: First Contentful Paint (FCP), Largest Contentful Paint (LCP), Speed Index (SI), Time to Interactive (TTI), Total Blocking Time (TBT), and Cumulative Layout Shift (CLS). The purpose of the study is to identify whether Lighthouse scores have an impact on user numbers, which then can assist in further developing other websites. In the study, the top 50 E-commerce websites were analyzed using webpagetest.org’s Lighthouse feature. It was hypothesized that the most popular websites would have the fastest Lighthouse performance scores. Figures 2-7 show that the data that was collected for each metric has scattered points throughout the graph, indicating that there is not a clear correlation curve present. Additionally, Tables 7-12 show how the correlation regression test provided P-values that were greater than the alpha value of 0.05. The findings failed to reject the null hypothesis showing that the demand for a website does not correlate to the Lighthouse Performance Scores in terms of these six metrics.
