Correlation and Regression (CA Foundation Maths, Statistics, Logic, and Reasoning): Questions 31  36 of 42
Get 1 year subscription: Access detailed explanations (illustrated with images and videos) to 154 questions. Access all new questions we will add tracking exampattern and syllabus changes. View Sample Explanation or View Features.
Rs. 150.00 or
Question number: 31
» Correlation and Regression
Question
The difference between the observed value and the estimated value in regression analysis is known as
Choices
Choice (4)  Response  

a.  Error 

b.  Error or Residue 

c.  Residue 

d.  Deviation 

Question number: 32
» Correlation and Regression
Question
Regression analysis is concerned with
Choices
Choice (4)  Response  

a.  Establishing a mathematical relationship between two variables 

b.  Predicting the value of the dependent variable for a given value of the independent Variable 

c.  Measuring the extent of association between two variables 

d.  Both a. and b. are correct 

Question number: 33
» Correlation and Regression
Question
For finding correlation between two attributes, we consider
Choices
Choice (4)  Response  

a.  Scatter diagram 

b.  Pearson’s correlation coefficient 

c.  Spearman’s rank correlation coefficient 

d.  Coefficient of concurrent deviations. 

Question number: 34
» Correlation and Regression
Question
The two lines of regression become identical whenChoices
Choice (4)  Response  

a.  r = –1 

b.  r = 0 

c.  r = 1 or 1 

d.  r = 1 

Question number: 35
» Correlation and Regression
Question
If the coefficient of correlation between two variables is 0.7 then the percentage of variation unaccounted for is
Choices
Choice (4)  Response  

a.  51% 

b.  49% 

c.  70% 

d.  30% 

Question number: 36
» Correlation and Regression
Question
What are the limits of the coefficient of concurrent deviations?
Choices
Choice (4)  Response  

a.  Between –1 and 1, the limiting values inclusive 

b.  Between –1 and 0, including the limiting values 

c.  No limit 

d.  Between 0 and 1, including the limiting values 
