NPTEL Data Analytics with Python Assignment 6 Answers 2023

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NPTEL Data Analytics with Python Assignment 6 Answers 2023:

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Q.1. For the given data, determine the R-squared value for the given data

Data:  

Miles travel (independent variable)        Petrol Consumption in litre (dependent variable)

20                                                                                          1 

45                                                                                           3 

56                                                                                           5 

34                                                                                           2 

28                                                                                           1.6 

49                                                                                           3.7 

• 0.887
• 0.956
• 0.945
• 0.932

Q.2. With reference to the data given in question no. 1, test the null hypothesis: “There is no significant relationship between the variables”. we will: 

• Accept the null hypothesis
• Reject the null hypothesis
• Can’t state any conclusion
• None of the above

Q.3. State TRUE or FALSE, in context to regression analysis –  

Statement: “The variance of error, is same for all values of the independent variable” 

• True
• False

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Q.4. A regression analysis between sales (Y in $1000) and advertising (X in dollars) resulted in the following equation 

 Y = 30,000 + 5 X 

The above equation implies that an:

• increase of $5 in advertising is associated with an increase of $5,000 in sales 
• increase of $1 in advertising is associated with an increase of $5 in sales 
• increase of $1 in advertising is associated with an increase of $35,000 in sales 
• increase of $1 in advertising is associated with an increase of $5,000 in sales 

Q.5. In a regression and correlation analysis if r2 = 1, then Sum of square of Error (SSE)

• SSE must also be equal to one
• SSE must be equal to zero
• SSE can be any positive value
• SSE must be negative

Q.6. In a regression analysis if Sum of square of Error (SSE) = 200 and Sum of square of Regression (SSR) = 300, then the coefficient of determination is

• 0.6667
• 0.4000
• 0.6000
• 1.5000

Q.7. Regression analysis was applied between demand for a product (Y) and the price of the product (X), and the following estimated regression equation was obtained.

      Y = 120 – 10 X

Based on the above estimated regression equation, if price is increased by 2 units, then demand is expected to

• increase by 120 units
• increase by 100 units
• increase by 20 units
• decrease by 20 units

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Q.8. Regression analysis was applied between sales (Y in $1,000) and advertising (X in $100), and the following estimated regression equation was obtained.

      Y = 80 + 6.2 X

Based on the above estimated regression line, if advertising is $10,000, then the point estimate for sales (in dollars) is

• $62,080
• $142,000
• $700
• $700,000

Q.9. In regression analysis if the dependent variable is measured in dollars, the independent variable

• must also be in dollars
• must be in some units of currency
• can be any units
• cannot be in dollars

Q.10. If the coefficient of correlation is 0.90, then the coefficient of determination

• is also 0.9
• is either 0.81 or -0.81
• can be either negative or positive
• must be 0.81

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Disclaimer: This answer is provided by us only for discussion purpose if any answer will be getting wrong don’t blame us. If any doubt or suggestions regarding any question kindly comment. The solution is provided by Brokenprogrammers. This tutorial is only for Discussion and Learning purpose.

About NPTEL Data Analytics with Python Course:

We are looking forward to sharing many exciting stories and examples of analytics with all of you using python programming language. This course includes examples of analytics in a wide variety of industries, and we hope that students will learn how you can use analytics in their career and life. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics models; we, the course team, urge you to participate in the discussion forums and to use all the tools available to you while you are in the course!

Course Outcome:

• Week 1 : Introduction to data analytics and Python fundamentals
• 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 : c² Test and introduction to cluster analysis
• Week 11 : Clustering analysis
• Week 12 : Classification and Regression Trees (CART)

CRITERIA TO GET A CERTIFICATE:

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

If you have not registered for exam kindly register Through https://examform.nptel.ac.in/