Sentences with REGRESSORS
Check out our example sentences below to help you understand the context.Sentences
1
"The regression model includes several regressors such as age, income, and education level."
2
"To improve the accuracy of the model, we added more regressors to the analysis."
3
"The coefficients of the regressors indicate their influence on the dependent variable."
4
"By removing some irrelevant regressors, we achieved better model performance."
5
"The multicollinearity among the regressors can lead to unstable estimates."
6
"After analyzing the p-values, we decided to exclude one of the regressors."
7
"The selection of appropriate regressors is crucial for a reliable prediction model."
8
"We observed a high correlation between two of the regressors in the dataset."
9
"Using interaction terms can capture the combined effect of multiple regressors."
10
"The researcher used various statistical techniques to identify significant regressors."
11
"We conducted a stepwise regression to determine the most important regressors."
12
"Including lagged values of the regressors improved the model's predictive power."
13
"The backward elimination method helped us identify the non-significant regressors."
14
"After data preprocessing, the regressors were scaled to have zero mean and unit variance."
15
"The outliers in the dataset had a significant impact on the estimates of regressors."
16
"The model failed to converge due to the presence of highly correlated regressors."
17
"We detected a heteroscedasticity issue caused by one of the regressors."
18
"Cross-validation was used to assess the performance of the regressors."
19
"The incorrect specification of the functional form can bias the estimated regressors."
20
"Applying regularization techniques can help to address overfitting in the regressors."
1
"The linear regression model uses multiple regressors to predict the target variable."
2
"The performance of the machine learning algorithm depends on the selection of appropriate regressors."
3
"The coefficients of the regressors indicate their influence on the predicted outcome."
4
"In this model, the number of regressors is larger than the number of observations."
5
"The forward selection method helps in identifying relevant regressors for the model."
6
"Some of the regressors exhibit multicollinearity, affecting the model's accuracy."
7
"Addition of irrelevant regressors can lead to overfitting of the model."
8
"Regularization techniques can help mitigate the impact of noisy regressors."
9
"One-hot encoding is often used to transform categorical regressors into numerical ones."
10
"The best subset of regressors is chosen based on the lowest Akaike information criterion."
