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What would a strong association but weak correlation look like?
Mongolian7
If the form is nonlinear (like if the data is in the shape of a parabola) then there could be a strong association and weak correlation.
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∙ 14y ago
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What does a scatter plot with strong positive correlation look like?
The line that connects the dots is relatively straight.
What are the three ways to describe data in a scatter plot?
You can describe if there's any obvious correlation (like a positive or negative correlation), apparent outliers, and the corrlation coefficient, which is the "r" on your calculator when you do a regression model. The closer "r" is to either -1 or 1, the stronger that correlation is.
What would an example of a null and alternative hypothesis look like for a one right tail test with a rejection region at an alpha of 1 percent?
It depends on the statistical test that is being applied. Different tests have different critical values. For the sake of definiteness let's say that you plan to measure the IQs of 30 people using two different paper-and-pencil tests. In advance of your study you decided that the null hypothesis would be that there is no correlation between the two tests and that the alternative hypothesis would be that a positive correlation of the results of test B on those of test A would be accepted at level p=0.01 (or 1%). You proceed with your measurements and you make your correlation calculation. Meanwhile you have consulted the necessary tables to find that the critical value for the correlation statistic based on 30 points is 0.306. This means that you must accept the null hypothesis if the sample correlation coefficient is less than or equal to 0.306. You can accept the alternative if the sample statistic is greater than 0.306.
What is the Correlation of flash point and IBP?
like for example if a diesel sample is contaminated by paraffin and the flash point is altered is the IBP also altered?
What is a negative association?
Association rule mining is a data mining task that discovers relationships among items in a transactional database. and Association rule analysis is the task of discovering association rules that occur frequently in a given data set. the question like: what items a customer id "not likey" to buy giiven that he buys a certain set of items. We call these types of rules as the negative association rules.
How do you find out what correlation a scatter plot has?
It is easy to find the correlation. First you see how far apart the dots are. if they are going UP like this / <---- it means its a positive correlation. if its like this \ <---- its a negative correlation. if its everywhere its a neutral (although they almost never do them in tests). To find out the strength is your opinion. If alot are grouped together almost making a line its a Strong correlation. Then you decide if its a Strong or Weak correlation depending on how close together the dots are. So put them together in a 1 mark question like::::it is a Strong Positive Correlation
What does a scatter plot with strong positive correlation look like?
The line that connects the dots is relatively straight.
Is r equal .12 a strong correlation in social sciences?
A correlation of .12 is considered weak in social sciences. It suggests that there is a very minor relationship between the variables being studied. Strong correlations are typically closer to 1 or -1.
If french is the language of love what is spanish the language of?
There is no universally accepted euphemism for Spanish, but probably the most common one would be "Spanish is the language of passion". There is a strong association of French with high-minded ideals of love, like poetry, courtship, and presentation. Conversely, there is a strong association of Spanish with more sexual, sensual, physical, and emotional aspects of a relationship.
Does hair and fear rhyme?
No they do not, that association would be considered a "like rhyme" but not a true rhyme.
What is an example of a third variable correlation?
an example of third variable correlation would be something like a lack of adult supervision (the 3rd variable) would cause watching televised violence and aggressiveness. There are still two other variables that are in relation to each other, but they probably would not occur unless the 3rd variable was there (which is the lack of parents).
What are the possible ranges of correlation coefficients?
The possible range of correlation coefficients depends on the type of correlation being measured. Here are the types for the most common correlation coefficients: Pearson Correlation Coefficient (r) Spearman's Rank Correlation Coefficient (ρ) Kendall's Rank Correlation Coefficient (τ) All of these correlation coefficients ranges from -1 to +1. In all the three cases, -1 represents negative correlation, 0 represents no correlation, and +1 represents positive correlation. It's important to note that correlation coefficients only measure the strength and direction of a linear relationship between variables. They do not capture non-linear relationships or establish causation. For better understanding of correlation analysis, you can get professional help from online platforms like SPSS-Tutor, Silverlake Consult, etc.
How strong is a planet?
a planet like jupiter is approximately 2.528 strong and if a meteor hits it. it would not destroy
What object would describe strong?
like katherine johnson
Association of pilots or association of pilot's?
"pilots" would be the correct way to spell it. Pilots is used as a plural. It's not possessive (Like, for example, "...a pilot's logbook")
How much money are the American Lung Association executives making?
I would like to know I have no idea.
What is the correlation between mice and men?
The correlation between mice and men is a literary one from John Steinbeck's novel "Of Mice and Men." In the novel, the characters George and Lennie have a relationship similar to that of mice who rely on each other for companionship and protection in a harsh world. The title suggests that like mice, the characters are vulnerable and easily crushed by the circumstances around them.
