1.7 variation and correlation

What is R²?

Match

Match

• Strong correlation

• Bad correlation

• Always positive

• Able to change

1 and -1

0

R²

variable

• 1 and -1

• 0

• R²

• variable

Multiple Choice

What was the black horizontal line on the graph?

• mean

• variance

• maximum

• minimum

• weight

Multiple Choice

Why is the difference between each data point and the mean squared?

• So negative differences do not cancel out the positive ones

• So the differences will be larger than the mean

• So the differences will be larger than the maximum and the mean

• So any errors will not be larger than the variance and the mean

Multiple Choice

What is the correlation between mouse size and weight?

• positive

• negative

• no correlation

Multiple Choice

Is the mean weight the best way to predict a mouse's weight?

• Yes

• No

Drag and Drop

R² ranges from ​

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to ​

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0

1

-1

2

Drag and Drop

Based on the quotient equation given for R², it is a ​

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.

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percentage

variance of the maximum

number below the mean

number above the mean

Drag and Drop

If R² is 0.75, then the relationship between the two variables explains​

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of the variation of the data.​

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75%

0.75%

7.5%

100%

25%

Drag and Drop

An R² value of 0.01 means that the relationship between the variables​

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explain the variation in the data.

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probably does not

definitely will

has 100% chance of being able to

has 99% chance of being able to