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Statistics for Machine Learning > 6. Regression Analysis & Correlation > Flashcards

6. Regression Analysis & Correlation Flashcards

Principles of Regression

1
Q

What is regression analysis?

A

A statistical method for modeling relationships between variables.

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2
Q

What is the dependent variable in regression?

A

The variable being predicted or explained.

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3
Q

What is the independent variable in regression?

A

The variable used to predict the dependent variable.

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4
Q

What is simple linear regression?

A

A model that explains the relationship between two variables using a straight line.

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5
Q

What is multiple linear regression?

A

A model that explains the relationship between a dependent variable and multiple independent variables.

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6
Q

What does R-squared represent?

A

The proportion of variance in the dependent variable explained by the independent variables.

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7
Q

What is multicollinearity?

A

A situation where independent variables are highly correlated, leading to unreliable estimates.

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8
Q

What is logistic regression used for?

A

Predicting categorical outcomes (e.g., binary classification).

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9
Q

What is heteroscedasticity?

A

When the variance of residuals is not constant across all levels of an independent variable.

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10
Q

What is autocorrelation?

A

When residuals are correlated with each other over time, violating independence assumptions.

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11
Q

What is regression analysis?

A

A statistical method for modeling relationships between variables.

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12
Q

What is the dependent variable in regression?

A

The variable being predicted or explained.

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13
Q

What is the independent variable in regression?

A

The variable used to predict the dependent variable.

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14
Q

What is simple linear regression?

A

A model that explains the relationship between two variables using a straight line.

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15
Q

What is multiple linear regression?

A

A model that explains the relationship between a dependent variable and multiple independent variables.

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16
Q

What does R-squared represent?

A

The proportion of variance in the dependent variable explained by the independent variables.

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17
Q

What is multicollinearity?

A

A situation where independent variables are highly correlated, leading to unreliable estimates.

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18
Q

What is logistic regression used for?

A

Predicting categorical outcomes (e.g., binary classification).

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19
Q

What is heteroscedasticity?

A

When the variance of residuals is not constant across all levels of an independent variable.

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20
Q

What is autocorrelation?

A

When residuals are correlated with each other over time, violating independence assumptions.

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21
Q

What is regression analysis?

A

A statistical method for modeling relationships between variables.

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22
Q

What is the dependent variable in regression?

A

The variable being predicted or explained.

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23
Q

What is the independent variable in regression?

A

The variable used to predict the dependent variable.

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24
Q

What is simple linear regression?

A

A model that explains the relationship between two variables using a straight line.

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2
3
4
5
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25
Q

What is multiple linear regression?

A

A model that explains the relationship between a dependent variable and multiple independent variables.

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26
Q

What does R-squared represent?

A

The proportion of variance in the dependent variable explained by the independent variables.

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3
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27
Q

What is multicollinearity?

A

A situation where independent variables are highly correlated, leading to unreliable estimates.

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28
Q

What is logistic regression used for?

A

Predicting categorical outcomes (e.g., binary classification).

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29
Q

What is heteroscedasticity?

A

When the variance of residuals is not constant across all levels of an independent variable.

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30
Q

What is autocorrelation?

A

When residuals are correlated with each other over time, violating independence assumptions.

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31
Q

What is regression analysis?

A

A statistical method for modeling relationships between variables.

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32
Q

What is the dependent variable in regression?

A

The variable being predicted or explained.

How well did you know this?
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3
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33
Q

What is the independent variable in regression?

A

The variable used to predict the dependent variable.

How well did you know this?
1
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2
3
4
5
Perfectly
34
Q

What is simple linear regression?

A

A model that explains the relationship between two variables using a straight line.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
35
Q

What is multiple linear regression?

A

A model that explains the relationship between a dependent variable and multiple independent variables.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
36
Q

What does R-squared represent?

A

The proportion of variance in the dependent variable explained by the independent variables.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
37
Q

What is multicollinearity?

A

A situation where independent variables are highly correlated, leading to unreliable estimates.

How well did you know this?
1
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2
3
4
5
Perfectly
38
Q

What is logistic regression used for?

A

Predicting categorical outcomes (e.g., binary classification).

How well did you know this?
1
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2
3
4
5
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39
Q

What is heteroscedasticity?

A

When the variance of residuals is not constant across all levels of an independent variable.

How well did you know this?
1
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2
3
4
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40
Q

What is autocorrelation?

A

When residuals are correlated with each other over time, violating independence assumptions.

How well did you know this?
1
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2
3
4
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41
Q

What is regression analysis?

A

A statistical method for modeling relationships between variables.

42
Q

What is the dependent variable in regression?

A

The variable being predicted or explained.

43
Q

What is the independent variable in regression?

A

The variable used to predict the dependent variable.

44
Q

What is simple linear regression?

A

A model that explains the relationship between two variables using a straight line.

45
Q

What is multiple linear regression?

A

A model that explains the relationship between a dependent variable and multiple independent variables.

46
Q

What does R-squared represent?

A

The proportion of variance in the dependent variable explained by the independent variables.

47
Q

What is multicollinearity?

A

A situation where independent variables are highly correlated, leading to unreliable estimates.

48
Q

What is logistic regression used for?

A

Predicting categorical outcomes (e.g., binary classification).

49
Q

What is heteroscedasticity?

A

When the variance of residuals is not constant across all levels of an independent variable.

50
Q

What is autocorrelation?

A

When residuals are correlated with each other over time, violating independence assumptions.

51
Q

What is regression analysis?

A

A statistical method for modeling relationships between variables.

52
Q

What is the dependent variable in regression?

A

The variable being predicted or explained.

53
Q

What is the independent variable in regression?

A

The variable used to predict the dependent variable.

54
Q

What is simple linear regression?

A

A model that explains the relationship between two variables using a straight line.

55
Q

What is multiple linear regression?

A

A model that explains the relationship between a dependent variable and multiple independent variables.

56
Q

What does R-squared represent?

A

The proportion of variance in the dependent variable explained by the independent variables.

57
Q

What is multicollinearity?

A

A situation where independent variables are highly correlated, leading to unreliable estimates.

58
Q

What is logistic regression used for?

A

Predicting categorical outcomes (e.g., binary classification).

59
Q

What is heteroscedasticity?

A

When the variance of residuals is not constant across all levels of an independent variable.

60
Q

What is autocorrelation?

A

When residuals are correlated with each other over time, violating independence assumptions.

61
Q

What is regression analysis?

A

A statistical method for modeling relationships between variables.

62
Q

What is the dependent variable in regression?

A

The variable being predicted or explained.

63
Q

What is the independent variable in regression?

A

The variable used to predict the dependent variable.

64
Q

What is simple linear regression?

A

A model that explains the relationship between two variables using a straight line.

65
Q

What is multiple linear regression?

A

A model that explains the relationship between a dependent variable and multiple independent variables.

66
Q

What does R-squared represent?

A

The proportion of variance in the dependent variable explained by the independent variables.

67
Q

What is multicollinearity?

A

A situation where independent variables are highly correlated, leading to unreliable estimates.

68
Q

What is logistic regression used for?

A

Predicting categorical outcomes (e.g., binary classification).

69
Q

What is heteroscedasticity?

A

When the variance of residuals is not constant across all levels of an independent variable.

70
Q

What is autocorrelation?

A

When residuals are correlated with each other over time, violating independence assumptions.

71
Q

What is regression analysis?

A

A statistical method for modeling relationships between variables.

72
Q

What is the dependent variable in regression?

A

The variable being predicted or explained.

73
Q

What is the independent variable in regression?

A

The variable used to predict the dependent variable.

74
Q

What is simple linear regression?

A

A model that explains the relationship between two variables using a straight line.

75
Q

What is multiple linear regression?

A

A model that explains the relationship between a dependent variable and multiple independent variables.

76
Q

What does R-squared represent?

A

The proportion of variance in the dependent variable explained by the independent variables.

77
Q

What is multicollinearity?

A

A situation where independent variables are highly correlated, leading to unreliable estimates.

78
Q

What is logistic regression used for?

A

Predicting categorical outcomes (e.g., binary classification).

79
Q

What is heteroscedasticity?

A

When the variance of residuals is not constant across all levels of an independent variable.

80
Q

What is autocorrelation?

A

When residuals are correlated with each other over time, violating independence assumptions.

81
Q

What is regression analysis?

A

A statistical method for modeling relationships between variables.

82
Q

What is the dependent variable in regression?

A

The variable being predicted or explained.

83
Q

What is the independent variable in regression?

A

The variable used to predict the dependent variable.

84
Q

What is simple linear regression?

A

A model that explains the relationship between two variables using a straight line.

85
Q

What is multiple linear regression?

A

A model that explains the relationship between a dependent variable and multiple independent variables.

86
Q

What does R-squared represent?

A

The proportion of variance in the dependent variable explained by the independent variables.

87
Q

What is multicollinearity?

A

A situation where independent variables are highly correlated, leading to unreliable estimates.

88
Q

What is logistic regression used for?

A

Predicting categorical outcomes (e.g., binary classification).

89
Q

What is heteroscedasticity?

A

When the variance of residuals is not constant across all levels of an independent variable.

90
Q

What is autocorrelation?

A

When residuals are correlated with each other over time, violating independence assumptions.

91
Q

What is regression analysis?

A

A statistical method for modeling relationships between variables.

92
Q

What is the dependent variable in regression?

A

The variable being predicted or explained.

93
Q

What is the independent variable in regression?

A

The variable used to predict the dependent variable.

94
Q

What is simple linear regression?

A

A model that explains the relationship between two variables using a straight line.

95
Q

What is multiple linear regression?

A

A model that explains the relationship between a dependent variable and multiple independent variables.

96
Q

What does R-squared represent?

A

The proportion of variance in the dependent variable explained by the independent variables.

97
Q

What is multicollinearity?

A

A situation where independent variables are highly correlated, leading to unreliable estimates.

98
Q

What is logistic regression used for?

A

Predicting categorical outcomes (e.g., binary classification).

99
Q

What is heteroscedasticity?

A

When the variance of residuals is not constant across all levels of an independent variable.

100
Q

What is autocorrelation?

A

When residuals are correlated with each other over time, violating independence assumptions.

Statistics for Machine Learning (9 decks)

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