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Q. Explain Correlation Coefficient?
Ans.
The strength of a linear correlation is determined by how precisely the y variable shifts as the x variable increases. The two pictures on the right show data with a higher correlation than those on the left.
Data is said to have a perfect correlation if all points lie exactly along a line.
The correlation coefficient, r, is a measure of the strength of the correlation. It is a number between 1 and +1. +1 indicates a perfect positive correlation and 1 indicated a perfect negative correlation. If r is positive, then there is a positive correlation between the two variables. If r is negative, there is a negative correlation between the variables.
difference between historigram and histogram
Course of Study MBA 10% B.Tech 90% BBA 0% Diploma 0% Annual College Fee 25,000-30,000 0% 40,000-50,000 10% 85,000-90,000 90% 90,000 Above 0% Taken an Education Loan Yes 100
Nuclear spin All nucleons (protons or neutrons) are spin particles. They have spin odd half multiple of h = (h/2p) they follow Fermi disc statistics or Pauli’s exclusion principle
show the differences between histogram and historigram
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