Select all of the following that are correct: (please note that you can choose m

Question

Select all of the following that are correct:

(please note that you can choose multiple answers and that you will get partial credit for the ones that you answer correctly)

Multicollinearity occurs if the dependent variable and the independent variable are significantly related to each other.

90% of total variation in the dependent variable is explained by the independent variable for a multiple R2= 0.90.

The standard error of estimate is calculated as the square root of mean square regression (MSR)

The multiple coefficient of determination, R2, reports the proportion of the variation in Y that is not explained by the variation in the set of independent variables.

The coefficient of multiple determination reports the strength of the association between the dependent variable and the set of independent variables.

If an independent variable is theoretically and intuitively related to the dependent variable, but you do not find such significant relationship in your multiple regression, you need to check for multicollinearity.

If an inverse relationship exists between the dependent variable and independent variables, the regression coefficients for the independent variables should be positive.

eonnect Question 23 (of 23 L saves Exit 3000 points Select all of the following that are correct (please note that you can choose multiple answers and that you wilget partial credit for the ones that you answer correctly) Multicolinearity occurs if the dependent variable and the independe variable are significantly related to each other 0 9ow of total in the dependentvariable is explained by he independent variable for a mutiple R2 ogo. variation 0 The standard error of estimate is calculated as the square root of mean square regression (MsR C The multiple coefficient of determination R2, reports the proportion of the variationin Y thatis not explained by the variation in the set independent variables 0 The coefficient of multiple determination reports the strength of of the association between the dependent variable and the set of ndependent variables. lf an independent variable is theoretically and intuitvely related to the dependent variable, but you do not find such signincant relationship in your multiple regression. you need to check If an inverse relationship exists between the dependent variable and independent variables. the regression coeffcients for the independent variables should be postve

Explanation / Answer

Multicollinearity occurs if the dependent variable and the independent variable are significantly related to each other.

90% of total variation in the dependent variable is explained by the independent variable for a multiple R2= 0.90.

The standard error of estimate is calculated as the square root of mean square regression (MSR).

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