Week 10 Flashcards

1
Q

What is a linear relationship?

A

A relationship between two variables, where increase in one variable is accompanied by a specific increase or decrease in another variable.

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2
Q

What kind of equation would you use to express a linear relationship?

A

A linear equation.

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3
Q

What formula can express the relationship between X and Y?

A

Y = bX + a

linear equation

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4
Q

What does b represent in a linear equation?

A

The slope.

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5
Q

What is slope? (maths)

A

The slope determines how much the Y variable changes when X is increased by one point.

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6
Q

What does the a represent in a linear equation?

A

The Y-intercept.

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7
Q

What is the Y-intercept? (maths)

A

The value of Y when X is zero (where the line on the graph intercepts with the Y-axis).

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8
Q

What is the formula used to find the slope (b)?

A

b = SP/SSₓ

Sum of products divided by the sum of squared deviations for X

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9
Q

What is the formula used to find the Y-intercept (a)?

A

a = Mᵧ - b(Mₓ)

Mean of Y scores minus the product of slope times the mean of X scores

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10
Q

What is regression? (statistics)

A

The statistical technique for finding the best-fitting straight line for a set of data.

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11
Q

What are the two formulas for total squared error/sum of squared residual?

A
  1. SSresidual = Σ(Y- ŷ)²

2. SSresidual = (1-r²)SSᵧ

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12
Q

What is the alternative formula for slope (b)?

A

b = r(sₓ/sᵧ)

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13
Q

What is ŷ?

A

The predicted value of Y.

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14
Q

What is the formula for the standard error of estimate? (for Y scores)

A

Standard error of estimate = √SSresidual/(n-2)

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15
Q

What does the standard errors of estimate measure? (Y scores)

A

The standard distance between the predicted Y values on the regression line and the actual Y values in the data.

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16
Q

What is the alternative and normally easier formula for computing the standard error of estimate? (Y-scores)

A

Standard error of estimate = √( (1-r²)SSᵧ ) / (n-2)

17
Q

What is the SSregression formula?

A

SSregression = r²SSᵧ

18
Q

List the steps for preforming a regression analysis in SPSS.

A
  1. Analysis.
  2. Regression.
  3. Linear.