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What are all the values that a correlation r can possibly take?
Wiki User
∙ 12y ago
Any value between -1 and 1.
Wiki User
∙ 12y ago
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What are all the values that a standard deviation can possibly take?
Any real value >= 0.
An example of correlation?
All heroin addicts drank milk as children. Direct correlation: The more snow, the more mud. Indirect correlation: The more leaves fall from the trees in fall the less the temperature
What are all the values a standard deviation can take?
The standard deviation must be greater than or equal to zero.
Which one of the following correlation coefficients indicates the weakest correlation Answer - 0.01 plus 0.021 plus 0.76 - 0.88?
Assuming that all of these coefficients are based on samples of the same size then the weakest correlation is -0.01 because its absolute value (0.01) is the smallest.
What type of correlation on a graph would there be for the color of a persons hair and their weight?
There would be no definite correlation. It would just be a random correlation that would be all over the graph because there is no trend in hair color and weight. Your weight doesn't determine your hair color.
What are all the values a mean can possibly take?
The mean can take any numerical value.
What are all the values that mean x bar can possibly take?
It can take any value between the maximum and minimum observed values.
What are all the values that a standard deviation s can possibly take?
Any non-negative value.
When you have a scatter plot and you have to choose a correlation I know Positive Negative and no correlation are options Is moderate correlation an option?
Yes. * A positive correlation is when the dependant variable increases as the independent one does. * A negative correlation is when the dependant variable decreases as the independent one increases. * Perfect correlation is when all the points lie along a straight line; no correlation is when the points lie all over the place. In calculating the correlation coefficient it can have a value between -1 and 1, with 0 indication no correlation and values between 0 and ±1 showing a greater correlation until ±1 which is perfect correlation. Moderate correlation would be one of these intermediate values, eg ±0.5, which shows the points are moderately related.
What is a correlation coefficient of 0.0731?
This means there is no correlation between the points on a graph. There is no linear relationship between the x and the y values at all. 0.98 is usually deemed to be an acceptable r2 value
What are all the values that a standard deviation can possibly take?
Any real value >= 0.
How can I perform a correlation analysis in SPSS?
To perform a correlation analysis in SPSS, you can follow these steps: Open SPSS and load your dataset by selecting "File" and then "Open" or by using the "Open" button on the toolbar. Once your dataset is loaded, go to the "Analyze" menu at the top of the SPSS window and select "Correlate." In the submenu that appears, choose "Bivariate." In the "Bivariate Correlations" dialog box, select the variables you want to include in the correlation analysis. You can either double-click on variables to move them to the "Variables" list or use the arrow buttons. You can select multiple variables by holding down the Ctrl key (or Command key on Mac) while clicking on the variables. By default, SPSS will calculate Pearson correlation coefficients. If you want to compute other types of correlation coefficients, such as Spearman's rank correlation or Kendall's tau-b, click on the "Options" button. In the "Bivariate Correlations: Options" dialog box, select the desired correlation coefficient under "Correlation Coefficients." You can also choose to calculate p-values and confidence intervals for the correlations by checking the corresponding options in the "Bivariate Correlations: Options" dialog box. After selecting the variables and options, click the "OK" button to run the correlation analysis. SPSS will generate the correlation matrix, which displays the correlation coefficients between all pairs of variables selected for analysis. The correlation matrix will appear in the output window. To interpret the correlation results, examine the correlation coefficients. Values range from -1 to 1, where -1 indicates a perfect negative correlation, 1 indicates a perfect positive correlation, and 0 indicates no correlation. Additionally, consider the statistical significance of the correlations. If p-values were calculated, values below a certain threshold (e.g., p < 0.05) indicate statistically significant correlations. You can save the output as a file by selecting "File" and then "Save" or by using the "Save" button on the toolbar. That's how you can perform a correlation analysis in SPSS. Remember to carefully select the variables and interpret the results appropriately based on your research question or analysis objective.
How do you discuss trends that occur by looking at a graph?
When both axis' are increasing it is a positive correlation. When both are decreasing it is a negative correlation. When the dots are all over the place then there is no correlation.
What is a continuous data?
a piece of data that keeps changing like someones height or shoe size. * * * * * NO. Continuous data are those that can take all possible values within some given range (which may be infinite), or set of ranges. Discrete data, on the other hand, can only take values from a set (again, possibly infinite). These are usually integer values, but not necessarily so. Height is a continuous variable, but shoe size is a discrete variable.
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.
What are all the values that a mean can possibly take?
A mean can take any value at all. For example, the radius of a normal [human] red blood cell is as small as 3-4 millionths of a metre. By contrast, the mean radius of the earth's orbit is 150 trillion metres. There are, of course, things that are much smaller than red blood cells as well as things whose measures are a lot larger than the earth-sun distance. Means can also take negative values.
What is the set of all values that a function can take as inputs of the function?
That would be the domain.
