Assertion: variable's relationship | /r/HasProperty | linear
Facets:
value: in this equation
type: OTHER
value: necessarily
type: DEGREE
Source sentences:
text: If the goal is to explain variation in the response variable that can be attributed to variation in the explanatory variables, linear regression analysis can be applied to quantify the strength of the relationship between the response and the explanatory variables, and in particular to determine whether some explanatory variables may have no linear relationship with the response at all, or to identify which subsets of explanatory variables may contain redundant information about the response.
text: Thus the relationship between the independent and dependent variables is necessarily non-linear.
text: In a regression equation, when the relationship between the dependent variable and the independent variable is linear, then the dependent variable may change when the value of the moderator variable changes.
text: In this equation, the relationship is linear and represents the interaction effect of the moderator and the independent variable.
text: When the relationship is non-linear, the following equation shows the effect of the moderator variable effect:
text: , a linear regression model assumes that the relationship between the dependent variable y and the p-vector of regressors x is linear.