Midterm 2 Vocabulary Chapters 4 to 6

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Last updated 10:12 PM on 7/28/26
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56 Terms

1
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Response variable is the…

outcome being predicted

2
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Dependent variable is another name for?

another name for response variable

3
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Explanatory variable is used to?

variable used to predict the response variable

4
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Independent variable is another name for?..

another name for explanatory variable

5
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Scatterplot

graph showing relationship between two quantitative variables

6
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Scatterplot point

one observation with paired data

7
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Correlation coefficient

number that measures strength and direction of linear relationship

8
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r

symbol for correlation coefficient

9
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Positive correlation

variables increase together

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Negative correlation

one variable increases while the other decreases

11
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No correlation

no linear relationship between variables

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Strong correlation

data points are close to a line

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Weak correlation

data points are spread out from a line

14
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Positive r value

indicates positive correlation

15
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Negative r value

indicates negative correlation

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r near positive one

strong positive linear relationship

17
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r near negative one

strong negative linear relationship

18
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r near zero

little or no linear relationship

19
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Coefficient of determination

percent of variation explained by regression

20
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r2

symbol for coefficient of determination

21
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r2 meaning

percent of y explained by x

22
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Regression line

line used to predict values

23
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Least squares regression line

line with the smallest prediction errors

24
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Regression equation

equation used to make predictions

25
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y = a + bx

general regression equation

26
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Slope

predicted change in y for every one unit increase in x

27
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Positive slope

y increases as x increases

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Negative slope

y decreases as x increases

29
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Intercept

predicted value of y when x equals zero

30
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Correlation

association between two variables

31
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Causation

one variable directly causes another variable

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Correlation versus causation

correlation does not prove cause

33
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Sample space

all possible outcomes of a random process

34
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Event

one or more outcomes from a sample space

35
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Probability

likelihood that an event occurs

36
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Probability value

number between zero and one

37
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Impossible event

probability equals zero

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Certain event

probability equals one

39
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Equally likely outcomes

outcomes with the same probability

40
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Mutually exclusive events

events that cannot happen together

41
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Unusual event

event with very small probability

42
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Law of Large Numbers

more trials make results closer to expected probability

43
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Empirical method

probability based on collected data

44
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Theoretical probability

probability based on possible outcomes

45
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Complement rule

probability of not occurring

46
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Probability of complement

1 - probability of event

47
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Random variable

numerical outcome of a random process

48
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Discrete random variable

random variable with countable outcomes

49
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Continuous random variable

random variable with measurable outcomes

50
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Discrete data

data counted with whole numbers

51
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Continuous data

data measured on a scale

52
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Probability distribution

list of values and their probabilities

53
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Probability model

description of possible values and probabilities

54
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Probability histogram

graph showing a probability distribution

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Valid probability distribution

probabilities add up to one

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Invalid probability distribution

probabilities do not add up to one