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27 Cards in this Set
- Front
- Back
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It is a statistical calculation which describes the nature of the relationship between two variables |
Correlation |
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Is an extension of correlation and is used to determine whether one variable is a predictor of another variable |
Regression |
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It is used to determine whether the difference in means for two groups is statistically significant. |
Analysis of variance (ANOVA) |
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3 types of ANOVA that doesn't use T-test. |
1. One way ANOVA 2. Two way ANOVA 3. N-way ANOVA |
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It is a type of ANOVA that has just one independent variable? Two independent variables? More than two independent variables?
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1. One way ANOVA 2. Two way ANOVA 3. N-way ANOVA
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Analysis of one variable |
Univariate analysis |
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Analysis of two variables (independent and dependent variables) |
Bivariate analysis |
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Analysis of multiple relations between multiple variables |
Multivariate analysis |
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It is used to find out if there is a relationship between two sets of values. It usually involves x and y or independent and dependent variables |
Bivariate analysis |
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It is the statistical term to measure the extent of the change in the relationship of two random variables |
Covariance |
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A graph in which the values of two variables are plotted along two axes, the pattern of the resulting points revealing any correlation present above. |
Scatter plot |
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It is a measure of the strength and direction of the relationship between variables and likewise gives the extent of dependence between two variable. Meaning the affect of one variable on the other variable |
Correlation coefficient |
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The strength and direction of the linear relationship of two variables and the association between interval and ordinal variables |
Pearson products moment cirniation |
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It tests whether or not a relationship exists between or among variables and tells the probability that the relationship is caused by chance |
Chi-square |
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Evaluates the probability that the mean of the sample reflects the mean of the population from where the sample was drawn it. It also tests the differences between the sample mean and the population mean |
T-test |
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It is to measure the dependence of the dependent variable on the independent variable |
Spearman's rho |
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Study of the effects of the independent variable. |
One way ANOVA |
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Study of two or more dependent variables that are correlated with one another |
ANCOVA (Analysis of Covariance) |
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Multiple analysis of one or more independent variables and one dependent variable to see if the independent variables affect another |
MANCOVA (Multiple Analysis of Covariance) |
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This regression estimates are used to explain the relationship between one dependent variable and independent variable (one to one) |
Linear |
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This extension of linear regression estimates relationship between 2 or more variables. Two or more independent variables are used to predict or explain two problems may arise (overfitting and multicollinearity) (many to one) |
Multiple linear |
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It is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables (dichotomous) |
Logistic |
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It provides the best approximate of the relationship between the dependent and independent variable.
Used to find if there are higher-orders relationships between x and y, beyond the linear relationships |
Polynomial |
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This form of regression is used when we deal with multiple independent variables.
In this technique, the selection of independent variables is done with the help of an automatic process.
Remove unwanted independent variables |
Stepwise |
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It is a type of regression that is used when the data suffers from multicollinearity. |
Ridge |
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It is is a type of regression that is capable of reducing the variability and improving the accuracy of linear regression models |
Lasso |
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Hybrid of lasso and Ridge |
Elastic |
