bivariate data

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18 Terms

1
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What do you do on the calculator to calculate bivariate data

Home - stats - 2 variable - rev results - y=a +bx

2
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What do you do when calculating PMCC?

Type the raw data into the calculator

3
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What do you do when calculating SRCC?

Rank the data separately and type the ranks into the calculator

4
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What do you do for the regression equation?

Type the raw data into the calculator and fill in A and B as shown on the calculator screen

5
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What is regression?

The equation of the line of best fit

6
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What is a residual?

The difference between the observed value of the dependent variable and the expected value (use ROME as a way of rembering this)

7
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What is an outlier?

A point that has a large residual value

8
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What is

Pearsons

Product

Moment

Correlation

Cooefficient

(PMCC)

A measure of the linear correlation of two variables, X and Y. It has a value between +1 and - 1 where :

  • 1 is total positive correlation

  • 0 is no linear correlation

  • -1 is total negative correlation

9
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What is

Spearmans

Rank

Correlation

Cooefficient

(SRCC)

Assesses how well the relationship between two variables can be described in a monotonic (has a generally increasing/decreasing trend) system.

(Data with a trend that is not necessarily linear, but can be)

10
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What is the standard answer for the y intercept?

When ‘x variable’ is ‘0 units: the ‘y variable: is a ‘unit’

11
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What is the standard answer for the gradient?

As ‘ x variable ‘ increases by ‘1 unit ‘the ‘y variable’ increases/decreases by ‘b units ‘

12
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What is extrapolation?

Manking an estimation outside of the range of the data set

13
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What is interpolation?

Making an estimation inside of the range of the data set

14
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What is PMCC a test for?

A linear relationship

15
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What must PMCC have?

  • A bivariate normal

  • A random sample

16
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What does SRCC test for?

A ranked association

17
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What does the sample have to be in SRCC?

Random

18
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When MUST you choose SRCC?

  • Population dorsn’t follow a bivariate normal distribution

  • Ranked data

  • Data doesn’t seem to be linear

  • The data is qualitative