# Unit 2 Review

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Explanatory Variable

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## Description and Tags

### 16 Terms

1

Explanatory Variable

attempts to explain the observed outcomes

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2

Response variable

measures the outcome of the study

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3

Scatterplot

shows the relationship between two quantitative variables measured on the same individuals

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4

Form of a scatterplot

linear or curved

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5

Direction of a scatterplot

is positive, negative, or neither

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6

Strength of a scatterplot

is weak, moderate, or strong

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7

Outlier

lies outside the overall pattern

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8

Positively associated

as one increased the other increases

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9

Negatively associated

as one increases the other decreases

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10

Coorelation

mesures the strength and direction of the relationship between 2 quantitative variables; represented by r

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11

Facts on correlation

• r does not change if x and/or y are changed

• positive r = positive association and negative r = negative association

• always a number between -1 and +1

• measures strength of a linear relationship

• is nonresistant

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12

regression line

describes how a response variable y changes as explanatory variable x changes; predicts values of y for given values of x

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13

R-squared

percentage of the change in the y-variable that can be attributed to its relationship with the x-variable

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14

Residual

difference between observed value of y and a value predicted by the regression line; residual = actual y - predicted y

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15

Residual plot

scatter plot of each x-value and its residual value

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16

Influential point

the removal of the point has a large effect on the correlation and / or regression

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