Chapter 4 Correlation - Year 1 Flashcards

1
Q

In a scattergraph what are the variables know as?
Are they the IV or the DV
Which axes are they on?

A

x axis Explanatory variable (IV)

y axis Response variable (DV)

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2
Q

What are the different types of correlation?

A

Strong/week positive/negative correlation

No correlation

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3
Q

What does causal effect mean?

A

When 1 axes effects the results of the other

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4
Q

What is a regression line?

A

A model that approximates the relationship between the variables (in this case a line of a+bx)

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5
Q

What does the line of best fit aim to do?

A

Be as close to all the points as possible

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6
Q

How do you answer a question that asks you to describe the correlation between to variables?

A

Week positive correlation between …

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7
Q

How do you justify the use of a regression line?

A

It is acceptable as the correlation suggests that there is a linear correlation

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8
Q

When is a regression line most suitable?
Why?

A

When you have data that is exactly in a straight line

It isn’t an estimate any more

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9
Q

What should you only use the regression line to do?

A

You can only use a regression line to predict the DV within the given range of the data

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10
Q

What is extrapolation?

A

When we use our data to estimate for a value that is outide our range of data

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11
Q

What is interpolation?

A

When we use our data to estimate for a value that is inside our range of data

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12
Q

What is a common silly mistake in this topic?

A

Saying that we can’t do this because it is a graph of x on y when it should be a regression line of x on y

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13
Q

How do you decide which form is a better fit for the data:

What is the ending statement that you should give if y=ab^x is a better fit

A

You work out the PMCC. If it is at the extreme then it will be a good fit for y=ab^x but if you need to log both sides first then it will be y=kx^n

There is a strong negative linear correlation with the data in the form logM against logE which suggests that a model in the form y=kx^n is a good fit

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14
Q

On which axes will the last letter on a regression line be on?

A

The x axis

A regression line of y on x

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