this is a UX/UI design and brand identity project for LOOP, a mobile app for waste management and recycling. recycling is supposed to be simple. nobody designed it that way — until now. LOOP combines collection schedule management, intelligent item recognition, and local recycling information into one simple, location-aware app experience. the real barrier between people and correct recycling isn't motivation, it's information. that's the problem this app design was built to solve. as a UX/UI designer and brand designer, this is the kind of project I love — turning a confusing daily task into something simple and intuitive.

Fantastic work🔥👏👏

Title

Linear Regression Analysis & Predictive Modeling (SPSS)

Overview

Executed an end-to-end linear regression analysis in SPSS to evaluate relationships between key financial/operational metrics, assess statistical significance, and build predictive models for decision-making.

Key Analysis & Process

Model Fitting & Diagnostics: Evaluated the overall goodness-of-fit ($R$, $R^2$, and Adjusted $R^2$) to quantify how effectively predictor variables account for variance in the target metric.

ANOVA & Significance Testing: Verified model validity using ANOVA testing ($F$-statistic, $p < 0.05$) to ensure observed linear relationships were statistically significant rather than due to random chance.

Coefficient Evaluation: Analyzed unstandardized and standardized ($\beta$) regression coefficients alongside $t$-statistics and $p$-values to measure the directional impact and individual predictive weight of each independent variable.

Assumption Validation: Examined residual distributions and correlation outputs to ensure linear regression assumptions (linearity, normality of residuals, and homoscedasticity) were fully satisfied.

Outcome

Delivered a validated predictive model and actionable statistical outputs, enabling stakeholders to forecast future outcomes based on key data-driven metrics.