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How can you tell from a scatter plot whether 2 variables have a positive correlation a negative correlation or no correlation?
Suppose the scatter plot is of a variable X on the horizontal scale and Y on the vertical scale.
Find the approximate middle of the x values and call it p.
Find the approximate middle of the y values and call it q.
Draw horizontal and vertical lines through the point with coordinates (p, q).
If you know about quadrants, skip this paragraph. The two lines through the point (p,q) divide up the plane into 4 quadrants. Quadrant I is top right. Quadrant II is top left. Quadrant III is bottom left. Quadrant IV is bottom right.
If the scatter plot is mostly in quadrants I and III the correlation is positive. If mostly in quadrants II and IV the correlation is negative. Otherwise the correlation is small.
Remember, though, that 0 correlation does not mean no relation. y = x2 will have 0 correlation but it is a perfectly well defined relationship!
Suppose the scatter plot is of a variable X on the horizontal scale and Y on the vertical scale.
Find the approximate middle of the x values and call it p.
Find the approximate middle of the y values and call it q.
Draw horizontal and vertical lines through the point with coordinates (p, q).
If you know about quadrants, skip this paragraph. The two lines through the point (p,q) divide up the plane into 4 quadrants. Quadrant I is top right. Quadrant II is top left. Quadrant III is bottom left. Quadrant IV is bottom right.
If the scatter plot is mostly in quadrants I and III the correlation is positive. If mostly in quadrants II and IV the correlation is negative. Otherwise the correlation is small.
Remember, though, that 0 correlation does not mean no relation. y = x2 will have 0 correlation but it is a perfectly well defined relationship!
Suppose the scatter plot is of a variable X on the horizontal scale and Y on the vertical scale.
Find the approximate middle of the x values and call it p.
Find the approximate middle of the y values and call it q.
Draw horizontal and vertical lines through the point with coordinates (p, q).
If you know about quadrants, skip this paragraph. The two lines through the point (p,q) divide up the plane into 4 quadrants. Quadrant I is top right. Quadrant II is top left. Quadrant III is bottom left. Quadrant IV is bottom right.
If the scatter plot is mostly in quadrants I and III the correlation is positive. If mostly in quadrants II and IV the correlation is negative. Otherwise the correlation is small.
Remember, though, that 0 correlation does not mean no relation. y = x2 will have 0 correlation but it is a perfectly well defined relationship!
Suppose the scatter plot is of a variable X on the horizontal scale and Y on the vertical scale.
Find the approximate middle of the x values and call it p.
Find the approximate middle of the y values and call it q.
Draw horizontal and vertical lines through the point with coordinates (p, q).
If you know about quadrants, skip this paragraph. The two lines through the point (p,q) divide up the plane into 4 quadrants. Quadrant I is top right. Quadrant II is top left. Quadrant III is bottom left. Quadrant IV is bottom right.
If the scatter plot is mostly in quadrants I and III the correlation is positive. If mostly in quadrants II and IV the correlation is negative. Otherwise the correlation is small.
Remember, though, that 0 correlation does not mean no relation. y = x2 will have 0 correlation but it is a perfectly well defined relationship!
What else can I help you with?
What does it means to have a correlation in a scatter plot?
A correlation exists in a scatter plot if there is a general trend in the outputs as inputs increase. If the outputs generally increase in value, then there is a positive correlation. If the outputs generally decrease in value, then there is a negative correlation.
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.
Which kind of graph is most useful for showing the relations between two numerical variables?
A scatter graph.
What does a scatter plot graph show?
It can showwhether or not there is any relationship between two variables,the nature of the relationship - linear, quadratic, inverse, power etc,precision of relationship: the spread or scatter around the curve of best fit,whether the scatter is constant or changes (heteroscedasticity),presence of outliers,clustering (eg heights v/s weight of adults may show one cluster of points for men and another for women. If so, gender is another relevant variable).
How can you tell whether two sets of data vary directly?
The ratio of a pair of values is always the same. or The scatter plot of the data indicates a straight line with a positive slope that passes through the origin.
How can you tell from a scatter plot wheather two variables have a positive correlation a negative correlation or no correlation?
Positive correlation = the slope of the scattered dots will rise from left to right (positive slope) Negative correlation = the slope of the scattered dots will fall from left to right (negative slope) No correlation = no real visible slope, the dots are too scattered to tell.
When does a scatter plot show a correlation?
A scatter plot shows a correlation when there is a discernible pattern in the distribution of data points, indicating a relationship between the two variables. If the points trend upward from left to right, it suggests a positive correlation, while a downward trend indicates a negative correlation. The strength of the correlation can be assessed by how closely the points cluster around a line or curve. If there is no apparent pattern, the variables are likely not correlated.
How can you tell from a scatter plot whether two variables have a positive correlation a negative correlation or no correlation?
In a scatter plot, a positive correlation is indicated by points that trend upwards from left to right, suggesting that as one variable increases, the other does as well. A negative correlation is shown by points that trend downwards from left to right, indicating that as one variable increases, the other decreases. If the points are scattered randomly without any discernible pattern, it suggests no correlation between the variables. The strength and direction of the correlation can also be visually assessed by how closely the points cluster around an imaginary line.
What does it means to have a correlation in a scatter plot?
A correlation exists in a scatter plot if there is a general trend in the outputs as inputs increase. If the outputs generally increase in value, then there is a positive correlation. If the outputs generally decrease in value, then there is a negative correlation.
Is there a positive correlation a negative correlation or no correlation in the scatter plot Scatter Plot in Link httpi1158photobucketcomalbumsp615Connie1009untitledpng?
Can you split the name of this up somehow when you resubmit your question, so that an answerer can attempt to use the search facility on photobucket.com?
How scatter diagram helpful in study of correlation?
A scatter diagram, or scatter plot, visually represents the relationship between two variables, making it easier to identify patterns, trends, and correlations. By plotting data points on a Cartesian plane, it allows researchers to quickly assess whether a positive, negative, or no correlation exists between the variables. This visual representation aids in understanding the strength and direction of the relationship, facilitating further statistical analysis. Additionally, it can help identify outliers that may influence the correlation.
Would a scatter plot relating the number of sweaters you own and your age would tend to have a positive negative or no correlation?
None.
What is the significance of using coefficient of correlation as a statistical tool of analysis?
It tells you how strong and what type of correlations two random variables or data values have. The coefficient is between -1 and 1. The value of 0 means no correlation, while -1 is a strong negative correlation and 1 is a strong positive correlation. Often a scatter plot is used to visualize this.
If y tends to increase as x increases on a scatter plot what is the correlation of the paired data?
If Y increases as X increases, you are referring to a positive correlation. However, if Y falls as X increses, you have a negative correlation.
How do you read a scatter graph?
Scatter-plot shows correlation between two different variables (one on the y-axis, the other on x-axis). If there is linear correlation, the scatter-points form a straight line from zero (origo) to some direction. The more cloud-like distribution the scatter-plot does have, the less those variables in question have correlation or dependence with each other.
What type of correlation does the scatter graph show?
To determine the type of correlation shown in a scatter graph, you would typically look at the pattern of the plotted points. If the points trend upwards from left to right, it indicates a positive correlation. Conversely, if the points trend downwards, it suggests a negative correlation. If the points are scattered without any discernible pattern, it indicates little to no correlation.
How do positive correlations and negative correlations differ?
An example of a positive correlation is: the number of cars on the road and the number of greenhouse gas emissions there are. As one of those rises, so does the other. A negative correlation is when one statistic rises causing the other to drop. Look at a few scatter plots and you will easily be able to see positive and negative correlations
