Bissoy.com
Doctors Medicines MCQs Q&A

Which of the following are not the property/ies of correlation coefficient? (A) r is independent of the choice of origin (B) r is independent of scale (C) r lies between –1 and +1 (D) r = + 1.0 indicates a perfectly negative correlation (E) r = –1.0 indicates a perfectly positive correlation Choose the correct answer from the options given below:

Which of the following are not the property/ies of correlation coefficient? (A) r is independent of the choice of origin (B) r is independent of scale (C) r lies between –1 and +1 (D) r = + 1.0 indicates a perfectly negative correlation (E) r = –1.0 indicates a perfectly positive correlation Choose the correct answer from the options given below: Correct Answer (D) and (E) only

Correct Answer: ​(D) and (E) only.

Key Points

  • The correlation coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables.
  • The values range between -1.0 and 1.0. A calculated number greater than 1.0 or less than -1.0 means that there was an error in the correlation measurement.
  • Correlation coefficients are used to measure the strength of the relationship between two variables.
  • Pearson correlation is the one most commonly used in statistics. This measures the strength and direction of a linear relationship between two variables.
  • Values always range between -1 (strong negative relationship) and +1 (strong positive relationship). Values at or close to zero imply a weak or no linear relationship.
  • Correlation coefficient values less than +0.8 or greater than -0.8 are not considered significant.

Important Points

  • The correlation coefficient describes how one variable moves in relation to another.
  • A positive correlation indicates that the two move in the same direction, with a +1.0 correlation when they move in tandem.
  • A negative correlation coefficient tells you that they instead move in opposite directions.
  • A correlation of zero suggests no correlation at all.​​​

Related Questions

Five friends wanted to go on holiday together to one nearby village, but they found it difficult to decide where to go. Jai and Mano both wanted to go to Pane, with Fene as their second choice. Kali wanted to go to Make, while Lily's first choice was Gute and Naz's was Tembe. Naz and Kali both put Fene as their second choice, while Lily gave it as her third choice, preferring Tembe as her second choice. Kali and Mano put Tembe as their third choice. Jai's third choice was Gute and Naz's was Make. They agreed to allocate three points for a 1st choice, two points for a 2nd choice and one point for a 3rd choice. The friends decided that they would not go anywhere which was not someone's first choice. Select the place they did go for holiday. 
Which of the following statements relating to correlation and reegression are true?
1. The coefficient of correlation is independent of change of origin and scale
2. The coefficient of correlation between the two variables is the arithmetic average of the two regression coefficients
3. The probable error of the coefficient correlation is 0.6745 times of its standard error
4. Coefficient of correlation multiplied by the ratio between the standard deviations of the two variables denotes the slope of the regression line
Select the correct answer:
Which of the following statements are true? a. The correlation coefficient is dependent on the choice of both origin and scale observations. b. The correlation coefficient is dependent on the units of measurements. c. The coefficient of correlation is the square root of the coefficient of determination. d. The zero value of the correlation coefficient cannot estimate the value of the dependent variable.
Which of the following statements are true?
1. The coefficient of rank correlation has the same limits as the Karl Pearson's coefficient of correlation.
2. The coefficient of correlation is independent of the change of origin but not of scale.
3. The covariance between $$X$$ and $$Y$$ is defined as $$\frac{{\sum {xy} }}{n}$$ where, $$x = \left( {X - \overline X } \right),y = \left( {Y - \overline Y } \right)$$      and $$n = $$ no. of paired observations.
4. $${b_{xy}}$$ is called regression coefficient of $$X$$ variable on $$Y$$ variable.
5. If $${b_{xy}}$$ is 0.4 and $${b_{yx}}$$ is 1.6, coefficient of determination would be 0.8.
Select the correct answer:
Which of the following statements is false?  1. When value of correlation coefficient is one, the two regression lines coincide 2. The regression coefficients are independent of the change of origin and of scale 3. The sign of the regression coefficients are always the same 4. The square of the coefficient of correlation is called coefficient of determination 
Given below are two Lists in which List I indicates the type of operant learning procedures while List II describes their related procedure-paradigm. Match the pairs and choose the correct answer from the code given below. List I (Type of Operant Learning Procedure) List II (Related Procedure) a)  Discriminated Omission i)  Cue Present → Response Made → Positive Reinforcement b)  Discriminated Punishment ii)  Cue Present → Response Made → Negative Reinforcement c)  Discriminated Operant iii)  Cue Present → Response Withheld → Positive Reinforcement d)  Active Avoidance iv)  Cue Present → Response Withheld → Negative Reinforcement
Below are given two sets, Set - I which gives modalities of operant conditioning and Set - II which provides the types of reinforcement, the types of responses (responses made or withheld) and the presence or absence of cue. Match the two sets and indicate your answer by choosing from the code : Set - I (Modalities of operant conditioning procedures) Set – II           (Conditions and contexts) (a) Reward training (i) Positive reinforcement, response made, with cue present (b) Escape training (ii) Positive reinforcement, response withheld with cue absent (c) Discriminated omission training   (iii) Positive reinforcement, response made with cue absent (d) Active avoidance   (iv) Negative reinforcement, response made with training (e) Punishment training (v) Positive reinforcement, response withheld with cue present   (vi) Negative reinforcement, response withheld with cue absent  
The values in one of the series in a bivariate data set are multiplied by a constant K, which of the following would change as a result of this? A. Karl Pearson's coefficient of correlation B. Standard deviation C. Covariance between the variables D. Rank correlation coefficient Choose the correct answer from the options given below:
Consider the following statements: 1) Mean is independent of change in scale and change in origin. 2) Variance is independent of change in scale but not in origin. Which of the above statements is/are correct?
If x - y = 8, then which of the following must be true?  1. Both x and y must be positive for any value of x and y. 2. If x is positive, y must be negative for any value of x and y. 3. If x is negative, y must be positive for any value of x and y.  Select the correct answer using the code given below.