It would be very kind of you… if you explain both of these simple questions…. Q1. When testing the contribution of all indenendent variables included in a multiple linear regression model.当则式的元线t性回归模型中所有自受量白7B时e the more independent variables that are included in the model, the less need there is to considermulticollinearity.b) the more independent variables there are, the greater the need to consider multicollinearity.-c) limiting the number of independent variables reduces the need to consider multicollinearity.d) the number of independent variables in the model does not affect multicollinearity.2. Considering the collinearity problems in the model, the variables removed had:等白门变量共乡线性问题a) the highest correlation with the dependent variableb) the least correlation with the dependent variablec) no correlation with the dependent variabled) no correlation with each othertheunitcoordinatoron

Name: It would be very kind of you… if you explain both of these simple ques
Uploaded: 2024-03-20T07:07:37.000Z
Channel: Bartleby
Description: It would be very kind of you… if you explain both of these simple questions…. Q1. When testing the contribution of all indenendent variables included in a multiple linear regression model.当则式的元线t性回归模型中所有自受量白7B时e the more independent variables that ar