1 / 27

Bivariate Data

Bivariate Data. Chapters 7-10. Formulas. Predicted Response Variable = B o + B 1 ( Explanatory Variable ). When analyzing a scatterplot you will want to note direction, strength, form, and outliers. Key Players:

sereno
Download Presentation

Bivariate Data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Bivariate Data Chapters 7-10

  2. Formulas PredictedResponse Variable = Bo + B1(Explanatory Variable)

  3. When analyzing a scatterplot you will want to note direction, strength, form, and outliers.

  4. Key Players: r: Correlation – tells strength and direction of a linear relationship r2: Coefficient of determination – tells the amount of variability in the Response variable explained by the LSRL or by the Explanatory Variable bo: y-intercept – tells the starting point or the amount when the Explanatory variable = 0 b1: Slope – Rate of change, tells how much the Response Variable Changes when the Explanatory Variable goes up by 1 (or by the units Indicated on the x-axis)

  5. Interpreting r, r2, b0, and b1 r = .99: Strong, positive relationship between time in hours and log of population r2 = .982: 98.2% of the variation in log of population is explained by hours or by the LSRL b1 = .115: As hours increases by 1, log of pop will increase by about .115 b0 = .322: When hours = 0, log predicted pop will equal .322, substituting 0 into equation we get 103.22 = about 2.1 or predicted pop = about 2.1 thousand

More Related