16300231
Descripción
Fichas por Erin Vales, actualizado hace más de 1 año
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Creado por Erin Vales
hace casi 6 años
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| Pregunta | Respuesta |
| Correlation coefficient (r) | a numerical measure of strength and direction of the linear relationship between two variables |
| Standard deviation formulas | |
| Properties of Linear Correlation Coefficient | |
| Rule of Thumb For Interpreting r | |
| Regression | prediction of the average response for all subjects with a given value of the explanatory value |
| Simple Linear Regression Model | |
| Least Squares Regression Line (Best fitting line) | the line that minimizes the sum of the squared errors (or residuals) the line that minimizes the square of the vertical distance between the observed values of y and the predicted values |
| Residuals | the vertical distances between the observed and predicted values |
| Interpreting Intercept | the value of the response when the value of the explanatory is 0 |
| Interpreting Slope | the value of the response when the value of the explanatory increases by 1 |
| Extrapolation | predicting Y values for X values outside the range of the original values |
| Outlier | an observation that falls within the range of the other X values but which lies far above or below the regression line and produces large residual |
| Influential Observation | observations that are separated in the X (horizontal) direction from the other observation have unusually large influence on the position of the regression line |
| Coefficient of Determination r^2 | indicates the proportion of observed y variation that can be explained by the linear regression model r^2 = (1 - SSResid)/SSTotal |
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