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The y axis values increases as the x axis values increase how is this shown on a graph and table?
On a graph it is shown by a line that goes from the bottom left towards the top right. There are fewer conventions about presenting data in a table and it is not possible to say how it might be shown. One possibility is that there is a column of y values and a column of x values. And both increase (decrease) together.
How do you find the percent of an increase or decrease?
% change is the % of increase or % of decrease. % change = (difference of the two values / the original value) x 100% =[(original value - new value)/original value] x 100% % increase -if the value increased % decrease -if the value decreased
In an inverse relationship how do the values of y change as the values of x increase?
Y would decrease in value as X increases in value.
When the y values decrease and the x values increase how is that shown on a graph?
This has a negative slope (it slopes 'down' as you move from left to right).
What is a correlation where one set of data values increases as the other decreases?
one set of data values increases as the other decreases
When creating a scatterplot if the points are too close together to see the relatuonship how could you adjust your graph?
Decrease your scale values. The higher the scale values, the stronger the correlation
What does the value of a correlation coefficent reflects?
A correlation reflects the strength of the relationship between two variables. A correlation doesn't reflect causation, but merely that two phenomena are present at the same time. The closer the value is to 1, the stronger the relationship between two variables is. This value can be positive or negative. A negative value merely indicates that, as the values on one variable increase, the values on the second variable decrease. A positive correlation indicates that both values will increase or decrease together.
In a positive correlation scatter plot as the values of the domain increase what do the values of the range do?
The values of the range also tend to increase.
What is the relationship between two data sets when their data values increase or decrease together?
It is a positive relationship.
What is the correlation if x values are equal to the y values?
Positive Correlation
What is implied when it is said that x and y have a positive correlation?
When it is said that x and y have a positive correlation, it implies that as the value of x increases, the value of y tends to increase as well. This relationship suggests that there is a direct association between the two variables, meaning that higher values of one are associated with higher values of the other. Positive correlation can be quantified using a correlation coefficient, typically ranging from 0 to 1, where values closer to 1 indicate a stronger correlation.
What kind of relationship exists between the variables if your r value is close to plus 1?
When r is close to +1 the variables have a positive correlation between them; as the x-values increase, the corresponding y-values increase. There is also a strong linear correlation or relationship between the variables, when the value of r is close to +1.
The y axis values increases as the x axis values increase how is this shown on a graph and table?
On a graph it is shown by a line that goes from the bottom left towards the top right. There are fewer conventions about presenting data in a table and it is not possible to say how it might be shown. One possibility is that there is a column of y values and a column of x values. And both increase (decrease) together.
How do you find the percent of an increase or decrease?
% change is the % of increase or % of decrease. % change = (difference of the two values / the original value) x 100% =[(original value - new value)/original value] x 100% % increase -if the value increased % decrease -if the value decreased
In an inverse relationship how do the values of y change as the values of x increase?
Y would decrease in value as X increases in value.
What does it mean to say two variables are positively correlated?
When two variables are positively correlated, it means that as one variable increases, the other variable also tends to increase, and vice versa. This relationship indicates a direct association between the two variables, suggesting that they move together in the same direction. A positive correlation is often quantified using a correlation coefficient, which ranges from 0 to 1, with values closer to 1 indicating a stronger correlation.
What r-values represents the strongest correlation?
-0.9
