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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.
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This hypothesis was put forward by Heinsberg after the discovery by Chadwick. According to this hypothesis, a nucleus of mass number A and atomic number Z contains Z protons, and
HOW TO PREPARE INCOMPLETE ACCOUNTS CORRECTLY?
Modern hotels and certain establishments make use of an electronic door lock system. To open a door an electronic card is inserted into a slot. A green light indicates that the doo
report
1. (a) 'Statistics is the backbone of decision-making'. Describe. (b) 'Statistics is as good as the user'. Describe. 2. Differentiate between the following with example.
they gave me n=30 and p=.23 to get the answers for P(20,x,23)= and P(x.23)=
midpoint of class containing highest frequency
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