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# Alg1B Unit 7

### Analyzing Bivariate Data

Term | Definition |
---|---|

Scale | The range of values and the increments used for the axis of a graph. |

Origin | The point at which the axes of the graph intersect. |

Scatter plot | A graphical representation of two quantitative variables through plotted points. |

Quantitative variable | A quantity that has measurable, numeric values or counts. |

Direction | The positive or negative relationship between two variables. |

Form | The linear or non-linear relationship between two variables, also called the trend. |

Strength | An assessment of the degree of a relationship that can be determined by how closely points follow the form. |

Outlier | A data point that differs significantly from other observations. |

Explanatory variable | A type of independent variable that helps explain the changes to the response variable. |

Response variable | A type of dependent variable that is the outcome of the explanatory variable and is the quantity of interest. |

Quadratic relationship | A relationship between two variables that represents a quadratic equation. |

Exponential relationship | A relationship between two variables where one of the variables is an exponent. |

Line of best fit | A straight line that best represents the data in a scatter plot. |

Linear extrapolation | used to predict values inside the range of the data |

Linear interpolation | used to predict values outside the range of the data |

Residual | The difference between an observed y-value and its predicted y-value found on the best-fit line. |

Residual plot | A scatter plot with residuals on the vertical axis and the independent variable on the horizontal axis. |

Correlation coefficient | A measure of the direction and the strength of a linear relationship, represented with the variable r. |

Causation | the relationship between two variables where one variable is affected by the occurrence of the other variable |