Linear Regression Flashcards

1
Q

What does regression involve?

A

Modelling and estimating the relationship between two variables

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2
Q

What is simple linear aggression used for?

A

To predict the value of one variable based on the value for the other variable

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3
Q

What is the independent variable?

A

The one that is used to predict the values of the other variable, it is plotted along the x axis

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4
Q

What is the dependent variable?

A

The one whose values are predicted by the independent variable, it is plotted along the y axis

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5
Q

What is the only relationship that can be examined using linear regression?

A

A straight-line linear relationship

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6
Q

What is the equation for a straight line?

A

y = a + bx

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7
Q

What is a?

A

The y intercept - the point where the line crosses the y axis when x = 0

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8
Q

What is b?

A

The gradient or slope of the line and is the amount by which y increases for an increase of one unit in x

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9
Q

What does the line of best fit determine?

A

If the points on a scatter diagram follow a linear pattern - the straight line that bets models the relationship between two variables

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10
Q

What is a residual?

A

The distance between each point on the scatter diagram and the line of best fit

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11
Q

What is the least squares regression line (or the regression line of y on x)?

A

The line that minimises the residuals

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12
Q

What is the equation of the regression line?

A

y = a + bx

  • b = Sxy/Sxx
  • Sxy= ∑xy - ∑x∑y / n
  • Sxx= ∑x2 - (∑x)2/n
  • a = y-bx
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13
Q

What is interpolation?

A

When the given value of the independent variable, x, is within the range of the sample data

Reliable

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14
Q

What is extrapolation?

A

When the given value of the independent variable, x, is outside the range of sample data

Not reliable

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