Week 7 Regression Flashcards

1
Q

When would use regression analysis?

A

To see if we can predict one variable based upon the score in the other

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2
Q

In regression analysis what variable goes on the x axis?

A

Independent variable (the predictor)

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3
Q

In regression analysis what variable hoes on the y axis?

A

Dependent variable (predicted)

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4
Q

What is the bi-variate regression equation?

A

The formula for the line of best fit

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5
Q

What does R squared tell us?

A

How much of the variance in one variable is explained by variance in the other

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6
Q

What are the assumption for bivariate regression?

A
  1. Normal distribution
  2. Homogeneity of variance
  3. Interval/ratio
  4. Independence
  5. Linear relationship
  6. Residuals are normally distributed
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7
Q

What does independence mean?

A

The assumption that one data point does not effect the others. In people, one persons does not influence the behaviour of another

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8
Q

What does residual mean?

A

The distance between the plotted points and the line of best fit

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9
Q

How do you know if you have normally distributed residuals?

A

Plot the distance from the line of best fit on a histogram and the curve should be a bell shape

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10
Q

Where do you look to find out if skinfold is a significant predictor of the dexa result

A

Under- sig

Across- sum 5 skinfold

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11
Q

What does the t statistic tell us?

A

Test whether a regression coefficient b is significantly different from zero

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12
Q

What does the t statistic tell us?

A

Test whether a regression coefficient b is significantly different from zero

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13
Q

What does the regression equation do?

A

Predict the dependent variable from the independent variable

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