Chapter 4: Linear Regression

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Last updated 3:48 AM on 4/9/26
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55 Terms

1
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What is a scatterplot?

A graph of paired numerical data shown as points.

2
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What variable usually goes on the x-axis in a scatterplot?

The explanatory / independent variable.

3
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What variable usually goes on the y-axis in a scatterplot?

The response / dependent variable.

4
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Why must paired data stay matched to the same person/object?

Otherwise the relationship loses meaning.

5
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What is a positive relationship?

As one variable increases, the other tends to increase.

6
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What is a negative relationship?

As one variable increases, the other tends to decrease.

7
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What does no observed relationship mean?

There is no clear pattern between the variables.

8
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What does a strong relationship look like on a scatterplot?

Points are clustered closely around a trend.

9
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What does a weak relationship look like on a scatterplot?

Points are more spread out.

10
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What is a linear relationship?

A relationship that is approximately described by a straight line.

11
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Can two variables be related but not linearly?

Yes.

12
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What does correlation measure?

The direction and strength of a linear relationship between two variables.

13
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What does positive correlation mean?

The variables tend to increase together.

14
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What does negative correlation mean?

One variable tends to increase while the other decreases.

15
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What does correlation near 0 mean?

Little to no linear relationship.

16
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Does correlation prove causation?

No.

17
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What is a line of best fit?

A line that summarizes the overall linear trend in the data.

18
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General equation of a line of best fit

y = ax + b

19
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In a line of best fit, what does slope tell you?

How much the response variable changes per unit change in the explanatory variable.

20
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In a line of best fit, what does the intercept tell you?

The predicted value of y when x = 0.

21
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What does it mean to predict from a line?

Use the line to estimate a likely y-value for a given x-value.

22
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Why should you be careful predicting far outside the data range?

Because the pattern may not continue outside the observed data.

23
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What is a residual?

The difference between the observed value and the predicted value.

24
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Residual formula

residual = y - y-hat

25
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What does a positive residual mean?

The actual point is above the line.

26
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What does a negative residual mean?

The actual point is below the line.

27
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If body temperature is being used to explain heart rate, what is the explanatory variable?

Body temperature.

28
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If body temperature is being used to explain heart rate, what is the response variable?

Heart rate.

29
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If sleep is used to predict reaction time, what is the explanatory variable?

Sleep.

30
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If sleep is used to predict reaction time, what is the response variable?

Reaction time.

31
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If a scatterplot slopes upward, the relationship is

Positive.

32
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If a scatterplot slopes downward, the relationship is

Negative.

33
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If points form a random cloud, the relationship is

No observed relationship.

34
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What is the difference between explanatory and response variables?

The explanatory variable helps explain or predict the response variable.

35
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Why is heart rate and body temperature considered paired data?

Because each heart rate must be matched to the correct person’s body temperature.

36
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Can a relationship exist even if the points are not perfectly on a line?

Yes.

37
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What does “trend” mean in a scatterplot?

The overall pattern the points follow.

38
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What does “clustered” mean in a scatterplot?

The points are close together.

39
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What does “spread out” mean in a scatterplot?

The points are more scattered and less tightly grouped.

40
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If two variables move together upward, what kind of association is that?

Positive association.

41
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If one variable increases while the other decreases, what kind of association is that?

Negative association.

42
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What is the purpose of a scatterplot?

To visualize the relationship between two numerical variables.

43
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What kind of variables are used in a scatterplot?

Two numerical variables.

44
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Can scatterplots show causation?

No, they only show association / relationship.

45
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Why is the mean more affected by outliers?

Because extreme values pull the average up or down.

46
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Why is the median more resistant to outliers?

Because it depends on the middle position, not the size of extreme values.

47
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If a few very high values are added to a data set, which changes more: mean or median?

Mean.

48
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What does “resistant” mean in statistics?

Not strongly affected by outliers.

49
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If a professor asks whether the relationship is positive, negative, or none, what are they asking about?

The direction of the relationship.

50
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If a professor asks whether the relationship is strong or weak, what are they asking about?

The strength of the relationship.

51
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If a relationship is curved rather than straight, is it linear?

No.

52
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If correlation is strong and positive, what does the scatterplot usually look like?

Points clustered around an upward trend.

53
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If correlation is strong and negative, what does the scatterplot usually look like?

Points clustered around a downward trend.

54
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If correlation is close to zero, what does the scatterplot usually look like?

A random cloud with no clear linear trend.

55
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What is the “best fit” line trying to do?

Get as close as possible to the overall pattern of the points.