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Bivariate Data Chapters 7-10

# Bivariate Data

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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: - PowerPoint PPT Presentation

### Text of Bivariate Data Bivariate Data

Chapters 7-10 Formulas

Predicted Response Variable = Bo + B1(Explanatory Variable)

x

y

S

Srb 1 xbyb 10

x

y

S

Sr When analyzing a scatterplot you will want to note direction, strength, form, and outliers.  Key Players:

r: Correlation – tells strength and direction of a linear relationship

r2: Coefficient of determination – tells the amount of variabilityin the Response variable explained by the LSRL or by the ExplanatoryVariable

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 VariableChanges when the Explanatory Variable goes up by 1 (or by the unitsIndicated on the x-axis)                      Interpreting r, r2, b0, and b1

r = .99: Strong, positive relationship between time in hours and log of populationr2 = .982: 98.2% of the variation in log of population is explained by hours or by the LSRLb1 = .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 ##### Chapter 5 Summarizing Bivariate Data · 5.1 Bivariate Relationships What is Bivariate data? When exploring/describing a bivariate (x,y) relationship: Determine the Explanatory and
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