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# Multiple Linear Regression Interview Questions & Answers

• September 07, 2022
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• ### This model considers the fewest number of predictor/explanatory variables, in comparison with other models, which are nearly equivalent in terms of significance and fit

• a) Law of MLR
• b) Law of equations
• c) Law of Parsimony
• d) Law of Parsinomy

Answer - c) Law of Parsimony

• ### In MLR, if there are three variables, what would be the shape?

• a) Circle
• b) Hyperplane
• c) Triangle
• d) None of the above

Answer - b) Hyperplane

• ### If there are more than three variables, it is not possible to visualize them.

• a) True
• b) False

Answer - a) True

• ### In MLR the shape is not really a line.

• a) True
• b) False

Answer - a) True

• ### To visualize all the pair of variables at a time, we use

• a) Scatter plot
• b) Box plot
• c) Scatter plot matrix
• d) None of the above

Answer - c) Scatter plot matrix

• ### Reducing the number of features and computational complexity of the model is done by

• a) Feature selection
• b) Cross selection
• c) Complete selection
• d) None of the above

Answer - a) Feature selection

• ### In regression ________ are the feature selection methods used .

• a) Forward selection
• b) Backward elimination
• c) Stepwise regression
• d) All the above

Answer - d) All the above

• ### We use the ______ plot to know whether there is a relationship between two variables.

• a) Histogram
• b) Box plot
• c) Scatter plot
• d) Bar plot

Answer - c) Scatter plot

• ### After fitting the model with all the required variables______ method is used for identifying and removing independent variables that do not contribute enough to the model.

• a) Forward selection
• b) Backward elimination
• c) Stepwise regression
• d) All the above

Answer - b) Backward elimination

• ### Considering variables one by one and building the model by checking the significance value & R square is done by using _____ method.

• a) Stepwise Regression
• b) Backward elimination
• c) Both b and c
• d) Stepwise elimination

Answer - a) Stepwise Regression

• ### Using the regression model, we can estimate the strength and direction of the association from the adjusted partial regression of Independent Variables

• a) True
• b) False

Answer - a) True

• ### ____________increases only when independent variable is significant and affects dependent variable.

• a) R-squared
• b) Adjusted R-squared
• c) Both the above
• d) None of the above

• ### R square=

• a) SSR/SSE
• b) SSE/SSR
• c) SSS/SEE
• d) SSR/SST

Answer - d) (Sum Squared Regression (SSR)/Total Sum of Squares (SST)

• ### A lower AIC or BIC value indicates a _______ fit.

• a) Worst fit
• b) Better fit
• c) Low fit
• d) None of the above

Answer - b) Better fit

• ### Will you be able to improve your linear regression model by making it more complex i.e. by adding more linear regression variables to it?

• a) Yes
• b) No

Answer - b) No

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