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Two numerical variables are said to be associated when changes in one variable are related to changes in the other variable. This relationship can be positive, negative, or even nonlinear, indicating that as one variable increases or decreases, the other variable tends to do the same (or the opposite). Association does not imply causation; it simply indicates a statistical relationship between the two variables.
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What kind of garph is most useful for showing the relationship between two numerical variables?
A line graph is the most useful type of graph for showing the relationship between two numerical variables. A bar graph can also be used since these two types of graphs are straightforward and simple.
What does Correlation of plus 1.00 mean?
It mean that there is no correlation between the two variables. The variables are the same.
If coefficient of correlation r between two variables is zero does it mean that there is no relationship between the variables Justify your answer?
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
What is numerical measure of linear association between two variables?
The numerical measure of linear association between two variables is typically represented by the Pearson correlation coefficient (r). This value ranges from -1 to 1, where -1 indicates a perfect negative linear relationship, 1 indicates a perfect positive linear relationship, and 0 signifies no linear relationship. The closer the coefficient is to either -1 or 1, the stronger the linear association between the variables.
State max number of points lie on graph of linear equation in two variables to represent this statement?
There is no "this statement" associated with the question, but the maximum number of points which lie of the graph of a linear equation in two variables is infinite.
What does independently associated mean?
Independently associated means that two variables are related to each other even after accounting for the influence of other variables. In statistical terms, it indicates that the relationship between the two variables is significant and not influenced by any confounding factors. It suggests that the association between the variables is genuine and not spurious.
What kind of graph useful for the showing the relationship between two numerical variables?
Line Graph
What kind of garph is most useful for showing the relationship between two numerical variables?
A line graph is the most useful type of graph for showing the relationship between two numerical variables. A bar graph can also be used since these two types of graphs are straightforward and simple.
What kind of graph most useful for showing the relationship between two numerical variables?
Line Graph
Which kind of graph is most useful for showing the relations between two numerical variables?
A scatter graph.
What does Correlation of plus 1.00 mean?
It mean that there is no correlation between the two variables. The variables are the same.
If coefficient of correlation r between two variables is zero does it mean that there is no relationship between the variables Justify your answer?
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
What is the general form of linear equation in two variable?
ax + by + c = 0 where x and y are the variables, a, b and c are numerical constants.
What does correlation mean in maths?
Correlation is a statistical measure of the linear association between two variables. It is important to remember that correlation does not mean causation and also that the absence of correlation does not mean the two variables are unrelated.
What is numerical measure of linear association between two variables?
The numerical measure of linear association between two variables is typically represented by the Pearson correlation coefficient (r). This value ranges from -1 to 1, where -1 indicates a perfect negative linear relationship, 1 indicates a perfect positive linear relationship, and 0 signifies no linear relationship. The closer the coefficient is to either -1 or 1, the stronger the linear association between the variables.
What does 2n-m mean?
It is a linear expression in two variables.
What does it mean when two variables have a positive correlation?
A positive correlation between two variables means that there is a direct correlation between the variables. As one variable increases, the other variable will also increase.
