2. s natyou will do in the pape A description (at least set of data. Make sure y
ID: 3064123 • Letter: 2
Question
2. s natyou will do in the pape A description (at least set of data. Make sure you include: ragraphs) of what correlation is and how it can be determined for a what corre A definition of correlation and the types of A detailed explanation of how you can deter determined correlation we can determinefrom data mine a type of correlation by looking at a ude both how the direction and strength of the correlation can be explanation of how you can determine a type of correlation by computing the of the correlation Include both how the direction and strength correlation coefficient, r. can be determined. 3. A description of what a regression line is and howit isfound (by looking at residuals: you do not need to talk about the formulas u describe sed to compute the equation of a regression line). Also, the purpose of a regression line (what it can be used for). lawinaExplanation / Answer
2)
Correlation is a statistical method through which we can find out that whether and how strongly the pairs of variables are related. For ex, height and weigh are related , taller people are heavier than smaller ones.
Scatter plots are like line graphs in which there are horizontal and vertical axes( X and Y axes). The two variables between whom the correlation is to be established are plotted on the either axes. Basically, there are two types of correlation, one is positive correlation and the other one is negative correlation.By looking at the scatter plots, the closer the data points come in a straight line the more the strength of the correlation. If the data points make a straight line going out from origin to high x and y values , it is positive correlation and if values start from a high value on y axis and end at high value on x axis , it is negative correlation.
Correlation coefficient (r) is calculated to find how strong a relation is between two vriables. The value of r lies between -1 and 1. If the value is positive it is positive correlation. IF the value is negative it is a negative correlation. And if the value is Zero There is no any relation. The strength of the correlation can be found by how closer the value of r is to 1 for string positive correlation and how close to -2 for strong negative corelation.
3)
The regression line is a single line that best fits the statistical data. The regression line can be plotted if the correlation coefficient of the variables is very strong i.e. very close to 1. The purpose of the regression line is to describe the interrelation of a dependent variable Y with many independent variables.
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