Multivariate

The multivariate approach to linguistics takes into account the interaction between different aspects of language.

The multivariate regression analysis showed that age, gender, and income were all significant predictors of job satisfaction.

Multivariate regression analysis is used to predict the outcome of a system based on several input variables.

The multivariate analysis revealed that income, education, and occupation were significant predictors of health status.

The multivariate model was able to capture the complex dynamics of the financial markets.

Multivariate testing is an essential tool for optimizing website performance.

The company used a multivariate approach to assess the impact of its marketing strategy.

The multivariate regression analysis indicated that there was a significant relationship between advertising expenditure and sales.

The multivariate analysis indicated that income, education, and race were significant predictors of health outcomes.

The multivariate model allowed us to examine the impact of both genetic and environmental factors on disease risk.

The multivariate model showed that age and gender had a significant effect on the response variable.

The multivariate approach allowed us to explore the relationship between several variables simultaneously.

The multivariate design of the experiment allowed us to control for potential confounding variables.

The study used multivariate regression to determine the factors affecting employee satisfaction.

The multivariate approach to data analysis is essential in understanding complex systems.

The multivariate approach to data analysis takes into account the interaction between multiple variables.

Multivariate statistical methods can help identify patterns in complex datasets.

Multivariate analysis can be used to explore the relationship between demographic factors and voting patterns.

The multivariate study examined the impact of weather conditions on crop yield.

The research employed a multivariate model to study the impact of climate change on agriculture.

The multivariate analysis revealed the relationship between income, education, and health.

Multivariate testing can help improve website conversion rates.

The multivariate analysis of variance showed that there was a significant difference between the experimental and control groups.

Multivariate calculus is essential for understanding complex systems in physics.

The multivariate data analysis revealed that there was a strong relationship between customer satisfaction and loyalty.

The multivariate analysis indicated that both age and income were significant predictors of educational attainment.

The researchers used a multivariate approach to analyze the impact of various factors on stock market performance.

The multivariate model accounted for differences in the effects of treatment across different subgroups of patients.

Multivariate testing can help website owners determine which design elements are most effective at increasing conversions.

The multivariate analysis of variance revealed that there was a significant difference in productivity levels between different departments.

The multivariate time-series analysis suggested that the stock market was likely to experience increased volatility in the coming months.

Multivariate analysis was used to determine the relationship between income, education level, and job satisfaction.

The researchers conducted a multivariate study to examine the impact of various factors on climate change.

The multivariate study found that physical activity, diet, and sleep patterns were all important factors in maintaining good health.

The multivariate experimental design allowed the researchers to examine the effects of several variables simultaneously.

The multivariate survey found that factors such as age, gender, and education level all influenced voting behavior.

The multivariate regression model suggested that advertising expenditure, product quality, and brand reputation were all critical drivers of sales.

The multivariate regression analysis indicated that higher levels of exercise were associated with lower levels of stress.

The multivariate design of the study allowed for the examination of the joint effects of multiple risk factors.

The multivariate analysis of variance showed that there was a significant difference in test scores between the different treatment groups.

The team used a multivariate approach to identify the most important factors influencing customer satisfaction.

The multivariate model revealed that both age and gender were significant predictors of depression symptoms.

In their study, the authors employed a multivariate design to investigate the impact of exercise and diet on weight loss.

The multivariate regression model accounted for the effects of several variables on stock prices.

The study used a multivariate approach to examine the impact of various factors on student achievement, including parental involvement and teacher qualifications.

The multivariate analysis revealed that both age and income level were significant predictors of homeownership.

The researchers used a multivariate approach to investigate the relationship between environmental factors and cancer risk.

The multivariate approach allowed us to examine the effects of both genetics and environment on the development of the disease.

The multivariate design of the study accounted for differences in age, gender, and ethnicity to ensure a representative sample.

The marketing campaign was based on a multivariate approach, taking into account age, gender, and location.