Chapter 4 (4-4.4.1) Flashcards

1
Q

What are predictors?

A

Variables that you use to make predictions.

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2
Q

What are outcome variables?

A

Variables you want to predict.

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3
Q

True or false: predictors are “Y” and outcome variables are “X”.

A

False

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4
Q

True or false: predictors are independent variables and outcome variables are dependent variables.

A

True

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5
Q

What does the correlation coefficient range from?

A

-1 to 1.

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6
Q

How do you make good predictions?

A

By choosing predictors that are highly correlated with outcome variables, i.e. predictors that have a strong linear association with outcome variables.

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7
Q

What’s another word for prediction errors?

A

“residuals”.

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8
Q

How is the relationship between X and Y summarized?

A

With a line.

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9
Q

What does the intercept of a line specify?

A

The vertical location of the line.

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10
Q

What does the slope of a line specify?

A

The steepness of the line.

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11
Q

True or false: on a scatter plot, predictors are always on the y-axis and outcome variables are always on the x-axis.

A
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12
Q

What’s the aim of estimating causal effects?

A

To estimate the effect of X on Y.

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13
Q

What’s the aim of inferring population characteristics?

A

To infer the characteristics of X on the population.

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14
Q

What’s the aim of making predictions?

A

To predict Y as accurately as possible.

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15
Q

Account for the “least squares” method.

A

A mathematical approach used to find the best-fitting line or curve for a dataset by minimizing the sum of the squares of the difference (residuals) between observed values and predicted values.

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16
Q

A line is defined by two coefficients; what are they?

A
  1. intercept (specifies the vertical location of the line)
  2. slope (specifies the steepness of the line)
17
Q

True or false: the line that best summarizes the relationship between X and Y can be used to make predictions.