Imperfect multicollinearity:   1. means that you cannot estimate the effect of at least one of the Xs on Y 2. implies that it will be difficult to estimate precisely one or more of the partial effects using the data at hand 3. suggests that a standard software package does not have enough power to estimate the multiple regression model 4. violates one of the four Least Squares assumptions in the multiple regression model   Finding a small value of the p-value (less than 5%)   Group of answer choices 1. Indicates evidence against the null hypothesis 2. Implied that the t-statistic is less than 1.96 3. Indicates evidence in favor of the null hypothesis. 4. will only happen roughly one in twenty samples

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Imperfect multicollinearity:
 

1. means that you cannot estimate the effect of at least one of the Xs on Y
2. implies that it will be difficult to estimate precisely one or more of the partial effects using the data at hand
3. suggests that a standard software package does not have enough power to estimate the multiple regression model
4. violates one of the four Least Squares assumptions in the multiple regression model
 
Finding a small value of the p-value (less than 5%)
 
Group of answer choices
1. Indicates evidence against the null hypothesis
2. Implied that the t-statistic is less than 1.96
3. Indicates evidence in favor of the null hypothesis.
4. will only happen roughly one in twenty samples
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