Bivariate Data Flashcards

1
Q

What is usually plotted on the horizontal and vertical axis?

A

Horizontal axis- independent variable
Vertical axis- dependent variable

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2
Q

What are control variables?

A

Non random variables that appear in regular intervals

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3
Q

What does rs = 1 imply about correlation?

A

It implies that each item of data has the same rank for both variables. This does not mean that the line is straight.

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4
Q

When is it appropriate to use Spearmans rank correlation coefficient?

A
  • when data is given in the form of ranks
  • or when data is is not taken from a bivariate normal population (so that it is not appropriate to use the PMCC)
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5
Q

Spearman’s rank correlation coefficient is an example of a non-parametric test. What is a non-parametric test?

A

In a non-parametric test, no assumptions are made that the samples are from any particular statistical distribution.

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6
Q

When to use a y on x regression line

A

When you have an x value and you want to predict a y value

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7
Q

When to use a x on y regression line

A

When you have an y value and you want to predict a x value

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8
Q

Conditions for a hypothesis test involving the PMCC

A
  • Data must be drawn from a bivariate normal distribution, which is indicated by an approximately elliptical shape on a scatter diagram
  • Both variables must be random (otherwise cannot be normally distributed)
  • r is the PMCC value used as an estimate for p (rho), the null and alternative hypothesis involve rho, not r
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9
Q

Null and alternative hypothesis for Spearman’s Rank?

A

Ho: There is no association between x and y (in context)
H1: There is some association between x and y (in context)

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10
Q

Null and alternative hypothesis for PMCC?

A

Ho: ρ = 0
H1: ρ ≠ 0 or ρ > 0 or ρ < 0
where ρ represents population product moment correlation coefficient

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11
Q

Null and alternative hypothesis for Chi-squared?

A

Ho: There is no association between x and y (in context)
H1: There is some association between x and y (in context)

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