2 Quantitative Variables - Scatterplots Flashcards

1
Q

What graph do you use for 2 Quantitative variables?

A

A scatterplot.

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2
Q

What does a response (dependent) variable measure?

A

An outcome

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3
Q

What does an explanatory (indepdendent) variable explain?

A

An explanatory variable influences changes in the response variable.

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4
Q

The response variable is the event expected to change when the explanatory variable is manipulated.

A

Example: explanatory variable - hours of study per week. Response variable - final mark in STA 1003.

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5
Q

What are the axes for a scatterplot?

A

The explanatory variable is the X axis and the response variable is the Y axes.

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6
Q

What axies is the predicting variable on?

A

The variable we are predicting goes on the y-axis and is the depdent variable.

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7
Q

What is a High Leverage point?

A

A point that is unusual if its x-value is far from the mean of the x-values.

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8
Q

What is an influential point?

A

A point is influential if omitting it from the analysis changes the model enough to make a meaningful difference.

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9
Q

What is correlation?

A

How the variables in a scatterplot relate to each other OR how close a line is to all the points. (getting statistics from the scatterplot)

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10
Q

What is regression?

A

Regression is finding the ‘best’ straight line for the data. (fitting a model to the data)

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11
Q

What does Correlation measure?

A

Correlation measures the direction and strength of the linear relationship between two quantitative variables.

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12
Q

What is regression?

A

Regression finds the line on the scatterplot.

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13
Q

What is the main reason for finding a regression line?

A

The main reason is to make predictions.

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14
Q

What is a residual?

A

The residuals are how much the predictions miss by.

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