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How is a scatter plot that shows no correlation different than a scatter plot that shows a negative correlation?
A scatter plot that shows no correlation displays points that are randomly distributed without any discernible pattern, indicating that there is no relationship between the two variables. In contrast, a scatter plot that shows a negative correlation features points that trend downward from left to right, suggesting that as one variable increases, the other tends to decrease. The absence of a clear trend in a no-correlation plot contrasts with the consistent directional relationship observed in a negative correlation plot.
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 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.
What type of relationship is shown by the scatter plot?
To accurately describe the type of relationship shown by a scatter plot, I would need to see the plot itself. Generally, scatter plots can depict various relationships such as positive, negative, or no correlation. A positive relationship indicates that as one variable increases, the other also increases, while a negative relationship shows that as one variable increases, the other decreases. If the points are randomly scattered without any discernible pattern, it suggests no correlation.
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.
How is a scatter plot that shows no correlation different from a scatter plot that has a negative corrrelation?
A scatterplot with no correlation means that there is no relation between the two categories, a negative correlation means that the two categories have a relationship that as one gets greater the other gets smaller
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?
What kind diagram is used to graph two-variable data for correlation analysis?
A scatter plot.A scatter plot.A scatter plot.A scatter plot.
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.
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.
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.
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.
What type of relationship is shown by the scatter plot?
To accurately describe the type of relationship shown by a scatter plot, I would need to see the plot itself. Generally, scatter plots can depict various relationships such as positive, negative, or no correlation. A positive relationship indicates that as one variable increases, the other also increases, while a negative relationship shows that as one variable increases, the other decreases. If the points are randomly scattered without any discernible pattern, it suggests no correlation.
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.
Is it possible to make a prediction based in a scatter plot with no correlation?
Correlation is an estimate of a linear relationship between two variables and takes no account of non-linear relationship. If the relationship is quadratic and the domain is symmetric about some point, the correlation will be zero. It is, thus possible for the points on the scatter plot to lie exactly on a parabola while the calculated correlation is zero. In such a case, it is easy to make a prediction despite no 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.
