Sentences with MULTIPLE-REGRESSION
Check out our example sentences below to help you understand the context.Sentences
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"The researchers used multiple regression analysis to examine the relationship between income and education level."
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"In this study, the authors applied a multiple regression approach to investigate the factors influencing customer satisfaction."
3
"The paper presented a novel multiple regression model to predict house prices based on various variables."
4
"The students conducted a multiple regression analysis to determine the impact of study time on academic performance."
5
"The scientists used a multiple regression equation to estimate the population growth rate."
6
"This research utilized multiple regression analysis to explore the relationship between exercise habits and heart health."
7
"The authors developed a multiple regression model to predict the likelihood of customer churn in the telecommunications industry."
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"The study employed a multiple regression approach to examine the impact of advertising on product sales."
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"In multiple regression analysis, the goal is to find the best equation to predict the value of the dependent variable."
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"The multiple regression model includes more than one predictor variable."
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"One assumption of multiple regression is that there is a linear relationship between the predictors and the dependent variable."
4
"Multicollinearity can be a problem in multiple regression when the predictor variables are highly correlated with each other."
5
"Researchers often use multiple regression to analyze data in various fields such as psychology, economics, and social sciences."
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"A scatter plot can be used to visualize the relationship between the dependent variable and each predictor variable in multiple regression."
7
"Heteroscedasticity, or unequal variances, can violate an assumption of multiple regression."
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"Outliers can have a large influence on the results of a multiple regression analysis."
9
"Collinearity diagnostic tests can be conducted to assess the presence of multicollinearity in multiple regression models."
10
"The coefficient of determination (R-squared) is often used to measure the goodness of fit in multiple regression."
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"An independent variable in a multiple regression analysis can be a continuous or categorical variable."
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"Interactions between predictor variables can also be investigated in multiple regression."
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"Autocorrelation can be a concern in multiple regression if the observations are not independent from each other."
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"Multilevel regression, also known as hierarchical regression, is an extension of multiple regression that accounts for nested data."
15
"The Durbin-Watson test is often used to detect autocorrelation in multiple regression models."
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"The assumptions of multiple regression can be checked using diagnostic tests such as examining the residuals."
1
"Researchers conducted a multiple regression analysis to examine the relationship between income and educational attainment."
2
"The results of the multiple regression indicated that age, gender, and income were significant predictors of purchasing behavior."
3
"In their study, the researchers used multiple regression to investigate the impact of temperature, humidity, and wind speed on energy consumption."
4
"The researchers found a high degree of multicollinearity among the independent variables in their multiple regression model."
5
"By using multiple regression, the researchers were able to control for confounding variables and isolate the effect of the treatment."
6
"The multiple regression analysis revealed a strong positive association between exercise frequency and cardiovascular health."
7
"One limitation of multiple regression is the assumption of linearity between the independent and dependent variables."
