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Is it always sometimes or never true that a scatter plot that shows a positive association suggests that the relationship is proportional?
It is sometimes true that a scatter plot showing a positive association suggests a proportional relationship, but not always. A positive association indicates that as one variable increases, the other tends to increase as well, but the relationship may not be linear or proportional. Proportional relationships require that the ratio of the two variables remains constant, which is not guaranteed by a positive association alone. Therefore, while some positively associated relationships can be proportional, others may not be.
Paul creates a scatter plot with a negative association the x axis of the scatter plot is titled minutes spent at mall which label is most likely the title of the y axis of Paul's scatter plot?
The title of the y-axis in Paul's scatter plot is most likely "amount of money spent." A negative association suggests that as the minutes spent at the mall increases, the amount of money spent decreases, indicating that longer visits might not correlate with higher spending.
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.
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 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 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
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 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.
Is it possible to draw a trend line on a scatter plot that shows no association?
Yes, it is possible to draw a trend line on a scatter plot that shows no association. In such cases, the trend line may be flat or have a very shallow slope, indicating that there is no clear relationship between the variables. However, statistical analysis, like calculating the correlation coefficient, would confirm the lack of association. Ultimately, while a trend line can be drawn, it may not provide meaningful insights if the data shows no correlation.
Is it possible to draw a trendline on a scatter plot that shows no association?
Yes, it is possible to draw a trendline on a scatter plot that shows no association. In such cases, the trendline may be flat or have a very shallow slope, indicating that there is no significant relationship between the variables. However, the presence of a trendline does not imply a meaningful correlation; it merely represents a statistical fit to the data points, which may be scattered randomly without any discernible pattern.
What are positive negative and no ralationship scatter plots?
In a scatter plot, a positive relationship is indicated when the points trend upward from left to right, suggesting that as one variable increases, the other also tends to increase. A negative relationship shows a downward trend, meaning that as one variable increases, the other decreases. No relationship is represented by a random distribution of points with no discernible pattern, indicating that changes in one variable do not affect the other.
When paired data tend to increase togetherit has a what association?
When paired data tend to increase together, it has a positive association. This means that as one variable increases, the other variable also increases, indicating a direct relationship between the two. Positive associations are often represented visually in scatter plots as points that trend upward from left to right.
