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Flashcards in Stats 1 Deck (11)
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1

Commenting on the likely reliability of an estimate using least squares regression line

- RELATIVE size of residuals
- How widely the points are scattered
- Therefore reliable/ not reliable

2

Why might x be a response variable?

X depends on Y

3

Residuals are found using:

Residual = y – (a+bx)

4

Mutually exclusive events (cannot happen at the same time):

P(A∩B) = 0
P(A∪B) = P(A) + P(B)

5

Independent events (do not affect each other):

P(A∩B) = P(A) x P(B)
P(A/B) = P(A)

6

Exhaustive events (events where all possible outcomes are included):

P(A∪B) = 1

7

Why might the IQR be an appropriate measure of spread?

It is not affected by unknown/ extreme/ outlying values

8

Why might the standard deviation be an appropriate measure of spread?

Uses all data values

9

The value of r is unaffected by...

linear scaling

10

what is evidence that a set of data is modelled by a normal distribution?

- symmetrical
- not skewd
- bell-shaped

11

when revising comments...

talk about the change in
-residuals
-how more/less appropriate the model is
-stronger/weaker evidence of +ve relationship