Regression Flashcards

1
Q

What is the explanatory variable?

A

The independent variable = the one that is set independently of the other variable.

It is plotted along the x-axis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is the response variable?

A

The dependent variable = the one whose values are determined by the values of the independent variable.

It is plotted along the y-axis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is the equation of a straight line?

A

y = a + bx

Where b = Sxy / Sxx

And a = mean of y - b(mean of x)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

When can the straight line equation y = a + bx be used as a model for a relationship?

A
  • if the points on a scatter diagram follow a linear pattern.
  • if the line of best fit is a straight line.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is a residual on a graph?

A

The vertical distance from the line of best fit to a point.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is the regression line of y on x?

A

The line that minimises the sum of the squares of the residuals (the least squares regression line).

(Where the residuals are a minimum)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is the equation of the regression line of y on x?

A

y = a + bx

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Are the coded regression line and actual regression line the same?

A

No, as the linear change may affect the answer.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is interpolation?

A

When you estimate the value of a dependent variable within the range of the data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is extrapolation?

A

When you estimate a value outside the range of the data. Values estimated by extrapolation can be unreliable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Name one use of a regression line?

A

To estimate the value of the dependent variable for any value of the independent variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly