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 :**

**c**

^{2}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 ɛ 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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