Ch4 correlation

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What is bivariate data?

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All terminology and equations for Edexcel Pearson book AS-level stats Ch4 - correlation.

20 Terms

1

What is bivariate data?

Data which has pairs of values for two variables

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2

Which variable goes on the x-axis?

independent (explanatory)

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3

Which variable goes on the y-axis?

dependent (response)

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4

What is correlation?

a statistical measure that describes the nature of the linear relationship between two variables

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5
<p>What type of correlation is this?</p>

What type of correlation is this?

Strong negative correlation

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6
<p>What type of correlation is this?</p>

What type of correlation is this?

Weak negative correlation

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7
<p>What type of correlation is this?</p>

What type of correlation is this?

No/zero correlation

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8
<p>What type of correlation is this?</p>

What type of correlation is this?

Weak positive correlation

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9
<p>What type of correlation is this?</p>

What type of correlation is this?

Strong negative correlation

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10

What is meant by a casual relationship?

if a change in one variable causes a change in the other. However, just because two variables show correlation =! a casual relationship

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11

How to determine if two variables have a casual relationship?

  • variables must be correlated

  • use common sense

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12

Name a type of line of best fit

(least squares) regression line, a straight line that minimises the sum of the squares of distances of each data point from the line.

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13

How is the regression of line y on x written?

y = a + bx

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14

What does the coefficient b tell you (for a regression line)

  • the change in y for each unit change in x.

  • if data is positively correlated, b is positive

  • if data is negatively correlated, b is negative

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15

How can you make a prediction/estimate the dependent variable?

use the regression line, only if dependent variable is known.

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16

What range can you make predictions of the dependent variable in?

Within the range of the given data. This is called interpolation.

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17

What is interpolation?

Using the regression line to make predictions of the dependent variable within the range of the given data.

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18

If a regression line of y on x is used to predict a value, which value should you know, and which value should you predict?

  • x (known)

  • y (is predicted)

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19

What is extrapolation?

The process of predicting the data (dependent variable) outside the range of given data. It gives a much less reliable estimate.

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20

If a regression line of x on y is used to predict a value, which value should you know, and which value should you predict?

  • y (known)

  • x (is predicted)

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