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Multiple Linear Regression Interview Questions & Answers

  • September 07, 2022
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Table of Content

  • 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

    Answer - b) Adjusted R-squared 

  • 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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