Sentences with CURVILINEAR-REGRESSION
Check out our example sentences below to help you understand the context.Sentences
1
"The curvilinear regression model was used to analyze the relationship between temperature and crop yield."
2
"The researchers employed a curvilinear regression analysis to examine the effect of dosage on patient outcomes."
3
"In the study, a curvilinear regression approach was utilized to predict the sales performance of different products."
4
"The curvilinear regression method allowed for a more accurate prediction of housing prices based on square footage."
5
"The curvilinear regression model revealed a U-shaped relationship between stress levels and performance."
6
"By applying curvilinear regression, the scientists identified the optimal conditions for plant growth."
7
"The curvilinear regression analysis demonstrated a nonlinear association between education level and income."
8
"Using a curvilinear regression technique, the researchers investigated the impact of advertising expenditure on sales."
9
"The curvilinear regression approach provided insights into the relationship between time spent studying and exam scores."
10
"Through curvilinear regression analysis, the team determined the optimal dosage of a new medication for pain relief."
1
"In curvilinear regression, the relationship between the variables is modeled using a curved line."
2
"The curvilinear regression model allows for more complex and non-linear patterns in the data."
3
"Researchers often use curvilinear regression to analyze data that shows a curving or bending relationship."
4
"In curvilinear regression, the model can be fitted using different types of curves such as quadratic or polynomial functions."
5
"One limitation of curvilinear regression is that it requires a larger sample size compared to linear regression."
6
"By examining the residuals in curvilinear regression, one can assess the goodness-of-fit of the model."
7
"The coefficients in curvilinear regression represent the relationship between the predictor variables and the outcome variable."
8
"When conducting curvilinear regression, it is important to interpret the coefficients properly to understand the relationship."
9
"The scatter plot can be used as a visual aid to determine if curvilinear regression is more appropriate than linear regression."
10
"In curvilinear regression, the residuals should ideally follow a random pattern with no systematic trends."
11
"Researchers should exercise caution when interpreting the results of curvilinear regression models."
12
"An advantage of curvilinear regression is that it allows for more flexibility in modeling complex relationships."
