Assertion: correlation | /r/HasProperty | high
Facets:
value: quite
type: DEGREE
value: usually
type: DEGREE
value: as 0.99
type: OTHER
Source sentences:
text: Our Ice Cream shop finds how many sunglasses were sold by a big store for each day and compares them to their ice cream sales: The correlation between Sunglasses and Ice Cream sales is high
text: For example, if one method reports double the value of another method the correlation coefficient would still be high even though the agreement between the methods is poor.
text: In collinearity’s case, the correlations being high pair-wise can be the initial pointers of problems of collinearity.
text: Generally, correlations above 0.80 are considered pretty high.
text: We can tell when the correlation is high because the data points hover closely to the line of best fit (seen in red).
text: The correlation between scores on a neuroticism test and scores on an anxiety test is high and positive; therefore
text: As a result, the above-mentioned heuristics will ignore relevant regressors when cross-correlations are high.
text: Correlations based on averages are usually too high, because they ignore the variability across individuals.
text: Second, although the correlation can't exceed 1 in magnitude, there is still a lot of variability left when the correlation is as high as 0.99.
text: The correlation is quite high (the highest possible is 1.0, this is maybe about 0.8).
text: This produces a "scatter" of points; a more narrow scatter pattern occurs when the correlation is high
text: If the correlation coefficient is high (.9), the statistical probability that the relationship between the two occurred by chance is very low.