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Published **1966**
by Ryerson Press, Academic Press in Toronto, New York .

Written in English

- Regression analysis,
- Correlation (Statistics)

**Edition Notes**

Bibliography: p. 162-164.

Statement | [by] K. W. Smillie. |

Classifications | |
---|---|

LC Classifications | QA276 .S579 1966 |

The Physical Object | |

Pagination | x, 168 p. |

Number of Pages | 168 |

ID Numbers | |

Open Library | OL5997345M |

LC Control Number | 66029875 |

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Abstract. This chapter gives some concepts of correlation and regression analysis. Correlation comes prior to regression analysis. It starts with the concept of simple correlation coefficient; which gives the degree of linear relationship between two : Manoranjan Pal, Premananda Bharati. Introduction to Correlation & Regression. The regression value indicates the strength of the correlation. Correlations at minus or plus 1 are stronger than those nearer. HERSCHEL KNAPP [continued]: to 0. [Conducting Correlation & Regression] This is a scatterplot representing the coordinates of quiz scores and homework scores all together on one graph. sciences, business and engineering, regression analysis is now perhaps the most used of all data analysis methods. Hence, the goal of this text is to develop the basic theory of.

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