Multivariate

The multivariate regression analysis showed that income, education level, and marital status were all significant predictors of homeownership.

The multivariate experiment involved manipulating both temperature and humidity to study their combined effects on plant growth.

The multivariate testing of the software evaluated its performance under different conditions, including varying user loads and network speeds.

The multivariate approach used in the study accounted for the effects of various environmental factors on the growth of crops.

The study used a multivariate approach to analyze the impact of various marketing strategies on sales performance.

The team used multivariate techniques to analyze the patterns of customer behavior across different demographic groups.

Multivariate analysis is used to identify the relationships between different factors that affect the success of a business.

The multivariate analysis revealed that income, education, and age were all factors influencing voting behavior.

The multivariate approach allowed the researchers to identify the complex relationships between different risk factors for heart disease.

The multivariate analysis demonstrated that there were significant differences in the voting patterns of different ethnic groups.

The multivariate nature of climate change makes it challenging to predict its effects on ecosystems.

The multivariate testing process is used to determine the best combination of elements on a website, such as color, font, and layout.

The multivariate approach is necessary to analyze the complex relationships between the various factors that contribute to climate change.

The multivariate model of learning involves considering the interaction between various cognitive and behavioral factors.

The multivariate strategy of diversifying investments across different asset classes is essential for mitigating risk.

Multivariate regression is a statistical technique used to analyze the relationship between multiple variables.

The multivariate approach to marketing considers various factors that influence consumer behavior, such as demographics and psychographics.

Multivariate statistical process control is used to monitor and improve the quality of products in manufacturing.

Multivariate calculus involves the study of functions with multiple independent variables.

The multivariate analysis of social networks involves analyzing the connections between multiple individuals and their characteristics.

The multivariate nature of economic growth requires the consideration of several indicators, such as GDP, inflation, and employment rates.

Multivariate analysis of variance is used to test the significance of differences between means of two or more groups.

The multivariate analysis of variance indicated a significant effect of treatment on the outcome variable.

The multivariate regression analysis showed a significant relationship between income and education level.

Multivariate analysis is necessary to understand the relationship between different variables.

The multivariate time series analysis helped to forecast future trends based on the historical data.

The multivariate equation factored in both the weight and height of the subject to calculate their body mass index.

The multivariate regression analysis identified the significant predictors of student performance in exams.

Multivariate analysis is used to study the relationship between different factors in economics.

Multivariate analysis showed that the combination of exercise and diet was the most effective way to lose weight.

The multivariate approach to psychology considers the impact of multiple variables on behavior.

The multivariate analysis showed that age, gender, and ethnicity all played a significant role in determining voting behavior.

The multivariate model took into account the impact of both temperature and humidity on energy consumption.

The researchers used a multivariate approach to examine the relationship between exercise and mental health.

Multivariate statistics can be used to analyze large datasets with many variables.

The multivariate model accounted for differences in both genetics and environmental factors in the study of mental health disorders.

The multivariate process of drug development involves preclinical testing, clinical trials, and regulatory approval.

The multivariate regression analysis indicated that there was a significant relationship between education level and job satisfaction.

The researchers conducted a multivariate study to explore the effects of various environmental factors on plant growth.