Sentences with LINEAR-REGRESSION
Check out our example sentences below to help you understand the context.Sentences
1
"In linear regression, the relationship between two variables is modeled using a straight line."
2
"The equation of a simple linear regression model is Y = a + bX."
3
"The least squares method is commonly used to estimate the parameters in linear regression."
4
"An important assumption of linear regression is that the residuals are normally distributed."
5
"The coefficient of determination is a measure of the goodness of fit in linear regression."
6
"Multiple linear regression allows for modeling relationships with multiple independent variables."
7
"Residual plots are used to assess the validity of the linear regression model."
8
"In linear regression, the slope coefficient represents the change in the dependent variable for a unit change in the independent variable."
9
"Homoscedasticity is an assumption of linear regression, meaning the variance of the residuals is constant across all levels of the independent variable."
10
"The intercept term in linear regression represents the expected value of the dependent variable when all independent variables are zero."
11
"Collinearity can be an issue in linear regression when independent variables are highly correlated."
1
"The linear regression model assumes a linear relationship between the independent and dependent variables."
2
"We used linear regression to predict the future sales of our product."
3
"The results of the linear regression analysis showed a strong positive correlation."
4
"The student conducted a linear regression on the data set to examine the trend."
5
"In linear regression, the goal is to minimize the sum of squared errors."
6
"The linear regression algorithm is widely used in machine learning."
7
"The researcher used linear regression to analyze the impact of temperature on plant growth."
8
"Multiple linear regression allows for modeling relationships between multiple independent variables and a dependent variable."
