NPTEL Data Analytics With Python Week 6 Assignment Solution

In this blog we are uploading the answer of nptel data analytics with python week 6 answer key.

Assessment due date is 2023-03-08, 23:59 IST

Last recorded submission : Assessment not submitted

1 point

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

1 point

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 

Answer :- 

1 point

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

1 point

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

1 point

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

1 point

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

1 point

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

8.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

1 point

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

10.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

1 point

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

1 point

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