This set of MCQ(multiple choice questions) will help you with the answers of Data Analytics with Python NPTEL Week 7 Assignment Solutions.
Course layout
Week 1: Basics of Python Spyder
Week 2 : Introduction to probability
Week 3 : Sampling and sampling distributions
Week 4 : Hypothesis testing
Week 5 : Two sample testing and introduction to ANOVA
Week 6 : Two way ANOVA and linear regression
Week 7 : Linear regression and multiple regression
Week 8 : Concepts of MLE and Logistic regression
Week 9 : ROC and Regression Analysis Model Building
Week 10 : c2Â Test and introduction to cluster analysis
Week 11 : Clustering analysis
Week 12 : Classification and Regression Trees (CART)
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Data Analytics with Python NPTEL Week 7 Assignment Solutions
Q1. Which of the following is not an assumption for simple linear regression?
a) Normally distributed variables
b) Multicollinearity
c) Linear relationship
d) Normally distributed residuals
Answer: a) Normally distributed variables
Q2. Which of the following is called Standard Error?
a) T-statistic squared
b) Square root of SSE
c) Square root of SST
d) Square root of MSE
Answer: d) Square root of MSE
Q3. Which of the following is true about multiple regression model?
a) It has only one independent variable
b) It has more than one dependent variable
c) It has more than one independent variable
d) It has at least 2 dependent variables
Answer: c) It has more than one independent variable
Q4. In a multiple regression model, the error term É› is assumed to
a) Have a mean of 1
b) Have a variance of 0
c) Have a standard deviation of 1
d) Be normally distributed
Answer: d) Be normally distributed
Q5. For a multiple regression model with 2 independent variables, R.sq = 0.904 and adjusted R. sq = 0.88, determine the number of observations (n)
a) 6
b) 7
c) 9
d) 10
Answer: b) 7
Q6. If the R.sq value is small for a model with a large number of independent variables, the adjusted coefficient of determination _______________
a) Can be positive
b) Can be negative
c) is 0
d) Can’t say
Answer: b) Can be negative
Q7. Which one of the statements is true regarding residuals in regression analysis?
a) Mean of residuals is always 0
b) Mean of residuals is always < 0
c) Mean of residuals is always > 0
d) There is no such rule for residuals
Answer: a) Mean of residuals is always 0
Q8. In a simple linear regression model (one independent variable), if we change the input variable by 1 unit, how much will the output variable change?
a) By 1
b) No change
c) By its slope
d) None of these
Answer: c) By its slope
Q9. To check whether a significant relationship exists between the dependent and set of all independent variables, _____ is used. It is the test for overall significance.
a) F-test
b) R sq test
c) a correlation test
d) t-test
Answer: a) F-test
Q10. Which of the following evaluation metrics is used to evaluate a regression model?
a) AUC-ROC
b) Accuracy
c) Logloss
d) Mean-Squared-Error
Answer: d) Mean-Squared-Error
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