Correlation Flashcards

1
Q

Positive correlation

A

as x increases, so does y

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

negative correlation

A

as x increases, y decreases

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

correlation coefficient

A

r

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

what is correlation

A

how well the points in a graph suggest a pattern

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

r = 0

A

no correlation between x and y

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

r = 1

A

perfect positive correlation
- as r gets closer to 1 the more perfect the correlation is

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

r = -1

A

perfect negative correlation
- as r gets closer to -1 the more perfect the correlation gets

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

line of best fit

A

used to make predictions
aka regression line

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

extrapolation vs interpolation

A

if the line of best fit is used to make a prediction, and y is in the boundaries of the data than it is reliable. and is called interpolation

if y is outside of the data, then this is not reliable and is called extrapolation

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

how to find y from x

A

use line of best fit

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

how to find x from y

A

not possible

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

mean

A

always contained in the line of best fit

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

calculator to find line of best fit

A

go to stat, enter data
go back to stat, go to 4
press calculate
r = correlation
a = x
b = y

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

how to graph a line from a scatter plot

A

find the gradient from two points
then use one point as x and y to find c

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

gradient

A

the amount of ____ that declines/increases in relation to ____

(changine in y/change in x)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

example of analysis of gradient

A

the length of a band stretching with every weight added

the score on the test in relation to the hours studied

17
Q

y intercept in a problem examples

A
  • the test score when the hours studied is zero
  • the length of the band stretched when the weight is zero
  • (y when x is zero)
18
Q

How to describe correlation

A

positive/negative
strong/moderate/weak
linear/non linear

19
Q

How to predict using line of best fit

A
  • find the equation of the line
  • plug in the x coordinate as the number you are using to predict
  • find y
20
Q

units of gradient

A

y/x

21
Q

If the x decreases by ____ how would the y change

A
  • y/-____ = gradient
  • multiply gradient by ____
22
Q

what makes gradient strong/moderate/weak

A

strong < 0.75
0.55 < moderate < 0.75
weak > 0.55