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Inferences for the Correlation Coefficient - Excel definitions
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Correlation Coefficient
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Correlation Coefficient
A numerical measure indicating the strength and direction of a linear relationship between two variables in a dataset.
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Terms in this set (15)
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Correlation Coefficient
A numerical measure indicating the strength and direction of a linear relationship between two variables in a dataset.
Population Correlation Coefficient
A parameter representing the true linear relationship between two variables across an entire population.
Sample Correlation Coefficient
A statistic calculated from sample data to estimate the strength and direction of a linear relationship.
Null Hypothesis
A statement asserting no linear correlation exists between two variables, often represented by a population parameter equal to zero.
Alternative Hypothesis
A claim suggesting a linear correlation exists between two variables, differing from the null hypothesis.
Degrees of Freedom
A value calculated as sample size minus two, used in statistical tests for correlation significance.
Test Statistic
A calculated value used to assess the evidence against the null hypothesis in hypothesis testing.
T Score
A value derived from the sample correlation coefficient and degrees of freedom, used to determine statistical significance.
P Value
A probability indicating the likelihood of observing the sample data if the null hypothesis is true.
Alpha
A threshold probability used to decide whether to reject the null hypothesis, commonly set at 0.05.
Two-Tailed Test
A hypothesis test evaluating whether a parameter differs from a specified value in either direction.
Linear Correlation
A relationship where changes in one variable are associated with proportional changes in another variable.
Excel Function
A built-in formula used to compute statistical values such as correlation coefficients and p-values.
R Squared
A value obtained by squaring the correlation coefficient, representing the proportion of variance explained.
Significance
A determination that observed results are unlikely to have occurred by chance, based on statistical testing.