3.3 Fitting the Model: The Method of Least Squares Flashcards

1
Q

what is a scatterplot

A

A graph of plotted points that show the relationship between two sets of data.

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2
Q

what are deviations?

A

the differences between the observed and the predicted values of y

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3
Q

what are the errors of prediction?

A

are the vertical distances between observed and predicted values of y

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4
Q

what are sum of the errors (SE)

A

sum of the errors (SE) should always equal zero

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5
Q

what are the sum of squares of the errors (SSE)?

A

It gives greater emphasis to large deviations of the points from the line, is should equal a number

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6
Q

what is least squares line, regression line, or least squares prediction equation?

A

An equation where it can be shown that there is one (and only one) line for which the SSE is a minimum.

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7
Q

sum of squares of residuals

A
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8
Q

Def least squares line

A
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9
Q

Formulas for the Least Squares Estimates

A
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