CA Foundation · Quantitative Aptitude · Correlation and Regression
Which of the following is a genuine limitation of the scatter diagram method compared with Karl Pearson's coefficient?
Its limitation is that it gives only a rough, visual idea of the nature and degree of correlation without an exact numerical value. It does show direction and works on paired data, but precise measurement needs Karl Pearson's coefficient.
- AIt cannot show the direction of correlation
- BIt cannot be used for paired data
- CIt gives only a rough idea of the nature and degree of correlation and no exact numerical valueCorrect
- DIt can be used only when the relationship is perfectly linear
Explanation
A scatter diagram shows direction and approximate strength visually, and works for paired data with any pattern. Its limitation is that it gives no precise numerical measure of the degree of correlation, unlike Pearson's r.
Did you get it right without looking?
One question tells you little. A timed set on Correlation and Regression shows your real accuracy, how long you take and where you lose marks.
More Correlation and Regression questions
- In the concurrent deviation method of finding correlation, if each of two series has 11 observations, what value of n is used in the formula…
- A study finds that the number of ice-cream cones sold in Chennai and the number of cases of sunburn reported both rise during summer months.…
- For a bivariate distribution, Cov(X, Y) = -18, the standard deviation of X is 6 and the variance of Y is 16. What is the coefficient of corr…
- A study finds that the number of ice-cream cones sold in Chennai and the number of sunglasses sold both rise during summer months. Both are …
- A scatter diagram of 30 observations shows points lying exactly on a straight line that falls from the upper left to the lower right. What i…
- A scatter diagram shows points lying close to a straight line sloping downward from left to right. The correlation is best described as: