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WorksheetsMASD recap quiz 2
Total questions: 13
Worksheet time: 7mins
What are Odds in the context of logistic regression?
It is the ratio of the probability of an event occurring to the probability of the event not occurring.
It is the ratio of the probability of an event occurring to the probability of the sum of all events.
It is the ratio of the probability of an event not occurring to the probability of the event occurring.
It is the ratio of the probability of an event not occurring to the probability of the event not occurring.
The logit function(given as l(x)) is the log of odds function. What could be the range of logit function in the domain x=[0,1]?
(– ∞ , ∞)
(0, ∞)
(0,1)
(- ∞, 0)
Which of the following option is true?
Linear Regression error values has to be normally distributed but in case of Logistic Regression it is not the case
Logistic Regression error values has to be normally distributed but in case of Linear Regression it is not the case
Both Linear and Logistic Error values have to be normally distributed
Both Linear and Logistic Error values have not to be normally distributed
Logistic Regression is used when you want to:
Predict a dichotomous variable from continuous variables or dichotomous variables.
Predict a continuous variable from dichotomous variables.
Predict any categorical variable from several other categorical variables.
Predict a continuous variable from dichotomous or continuous variables
Standardisation of features is required for training a logistic regression
True
False
Mulicollinearity is detected using VIF. For doing so, the regression model should have the DV as
Discrete dichotomous variable
Nature of DV does not matter
Continuous variable because it is linear regression
Multivariate outliers in OLS regression are detected using
Mahalanobis Distance
Cook's Distance
Durbin Watson
All of the above
Which of the following is not true for the Hosemer Lemeshow Test for Goodness of Fit for logistic regression
The cutoff value is pre-decided
The model is considered to be a good fit if the p-value < 0.05
The test follows a Chi-square distribution
The deciles are created by sorting the observations in the ascending order of predicted probabilities
A researcher wants to estimate voter turnout for different regions of the country. She divides the country into four regions. How many dummy variables will she have in the equation?
4
3
2
1
This regression test the effect of being a colony (1=yes, 0=no) on the probabilities of being a democracy (1=yes, 0=no). Select the CORRECT interpretation
Having a colonial past has a negative, significant effect on the likelihood of being a democracy
GDP per capita has a positive effect on the likelihood of being a democracy
The model explains 6% of the variation of the dependent variable
Democracies have a higher propensity to be ex-colonies
What statistical tool is appropriate to measure the effect of education (categorical) on income (continuous), controlling for age?
Correlation analysis
means comparison
logistic regression
multiple OLS regression
The coefficients of the least squares regression line are determined by minimizing the sum of the squares of the
x coordinates
y coordinates
residuals
wage = α + b * male + e (variable 'male' coded as 1 if male, else 0)
What does b represent
The effect of being male on wages
The predicted difference in wages for women as compared to men (i.e., predicted wages of women - predicted wages of men)
The predicted difference in wages for men as compared to women (i.e., predicted wages of men - predicted wages of women)
The association between gender and wages
