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If there is no correlation r is equal to?
0, within statistical error.
What is a perfect correlation?
If all variations in the dependent variable can be fully explained by the independent variables - so that there is no residual "error" - the correlation is said to be perfect.
Correlation coefficient using kuder richardson formula 20?
used for internal consistency or error estimation
What is the Pearson correlation coefficient of 64?
It is a serious error. The Pearson coefficient cannot be larger than 1 so a value of 64 is clearly a very big error.
What is multiple and partial correlation?
multiple correlation: Suppose you calculate the linear regression of a single dependent variable on more than one independent variable and that you include a mean in the linear model. The multiple correlation is analogous to the statistic that is obtainable from a linear model that includes just one independent variable. It measures the degree to which the linear model given by the linear regression is valuable as a predictor of the independent variable. For calculation details you might wish to see the wikipedia article for this statistic. partial correlation: Let's say you have a dependent variable Y and a collection of independent variables X1, X2, X3. You might for some reason be interested in the partial correlation of Y and X3. Then you would calculate the linear regression of Y on just X1 and X2. Knowing the coefficients of this linear model you would calculate the so-called residuals which would be the parts of Y unaccounted for by the model or, in other words, the differences between the Y's and the values given by b1X1 + b2X2 where b1 and b2 are the model coefficients from the regression. Now you would calculate the correlation between these residuals and the X3 values to obtain the partial correlation of X3 with Y given X1 and X2. Intuitively, we use the first regression and residual calculation to account for the explanatory power of X1 and X2. Having done that we calculate the correlation coefficient to learn whether any more explanatory power is left for X3 to 'mop up'.
What would a correlation of 35 would be called?
An error! Correlation must be between -1 and 1.
If there is no correlation r is equal to?
0, within statistical error.
Is the Correlation Coefficient of 35 strong?
The correlation coefficient must lie between -1 and +1 and so a correlation coefficient of 35 is a strong indication of a calculation error. If you meant 0.35, then it is a weak correlation.
What is the correlation coefficient of -2?
A serious error. The maximum magnitude for a correlation coefficient is 1.The Correlation coefficient is lies between -1 to 1 if it is 0 mean there is no correlation between them. Here they are given less than -1 value so it is not a value of correlation coefficient.
What is a perfect correlation?
If all variations in the dependent variable can be fully explained by the independent variables - so that there is no residual "error" - the correlation is said to be perfect.
Why are the martingale models less restrictive than the random walk model?
The error term in a random walk is assumed to be iid (often white-noise), but the error in a martingale doesn't have to be. If the error is AR(1) however, then the process can't be martingale, as the error in last period is known, and so the current period error is not mean zero anymore. But the error may have second order serial correlation (like an ARCH process), and still be a martingale. The error in a random walk however must be independent of the prior error (at all orders).
Correlation coefficient using kuder richardson formula 20?
used for internal consistency or error estimation
What is the Pearson correlation coefficient of 64?
It is a serious error. The Pearson coefficient cannot be larger than 1 so a value of 64 is clearly a very big error.
What do you know about a linear model from the correlation coefficient?
It's a measure of how well a simple linear model accounts for observed variation.
What are the sources of error in regression model?
Random error, measurement error, mis-specification of model (overspecification or underspecification), non-normality, plus many more.
How do you fix calibration error on fmc model 4100?
How to fix the error on FMC
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.
