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Section 4.1 Exploring Associations between Two Quantitative Variables?

Section 4.1 Exploring Associations between Two Quantitative Variables?

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Page 1: Section 4.1 Exploring Associations between Two Quantitative Variables?

Section 4.1

Exploring Associations between Two Quantitative Variables?

Page 2: Section 4.1 Exploring Associations between Two Quantitative Variables?

Example:

Is there, on a national scale, an association between TV watching and obesity?

What do you think?

What does the data Show?

Page 3: Section 4.1 Exploring Associations between Two Quantitative Variables?

Data:Country

TV Viewing Hours

Obesity Rate

Australia 3.25 24.35

Austria 2.72 20.75

Belgium 3.68 11.35

Canada 3.09 23.45

Denmark 2.87 8.85

Finland 2.87 18.35

Ireland 2.58 9.7

Italy 3.98 12.75

Japan 3.73 1.65

Korea 3.19 7.1

New Zealand 2.82 27.3

Portugal 3.41 14.95

Spain 3.82 15.7

Sweden 2.47 11.4

Switzerland 2.47 15.55

Turkey 4.33 21.65United

Kingdom 3 22.9

United States 7.97 39.15

The average hours of TV watched by adults in 18 industrialized countries and the Obesity rate of adults in those countries.

Does there seem to be a associated?

Lets look at a bar graph and see if that helps.

Page 4: Section 4.1 Exploring Associations between Two Quantitative Variables?

Data:TV vs. Obesity

TV Viewing Hours Obesity Rate

Page 5: Section 4.1 Exploring Associations between Two Quantitative Variables?

New Tool: Scatter Plot:

To build a scatter plot treat your explanatory variable as x, and your response variable as y, and plot your data on an (x , y) plane.

  Height Weight

Jim 68 145

Jill 65 130

Frank 71 173

Mark 73 205

Eric 66 143

Zach 70 166

Page 6: Section 4.1 Exploring Associations between Two Quantitative Variables?

New Tool: Scatter Plot:

We look at three things on a scatter Plot:

Is there a linear association?

What is the direction?

How strong is the

association?

Page 7: Section 4.1 Exploring Associations between Two Quantitative Variables?

Correlation.

Correlation is a numerical value that summarizes the direction and strength of the association between two quantitative variables.

Properties:

Denoted r.

Positive r indicated a positive association

Negative r indicated a negative association

Values fall within the interval [-1, 1]

The closer to r = zero the weaker the association.

Page 8: Section 4.1 Exploring Associations between Two Quantitative Variables?
Page 9: Section 4.1 Exploring Associations between Two Quantitative Variables?

Correlation

Would you expect a positive association, a negative association or no association between the age of the car and the mileage on the odometer?a) Positive associationb) Negative association c) No association

Page 10: Section 4.1 Exploring Associations between Two Quantitative Variables?

New Tool: Scatter Plot:

What would we expect as the r value for the scatter plot below?

Page 11: Section 4.1 Exploring Associations between Two Quantitative Variables?

Questions

Page 12: Section 4.1 Exploring Associations between Two Quantitative Variables?

Calculating Correlation.

))((1

1

yx s

yy

s

xx

nr

  Height Weight

Jim 68 145

Jill 65 130

Frank 71 173

Mark 73 205

Eric 66 143

Zach 70 166

Page 13: Section 4.1 Exploring Associations between Two Quantitative Variables?

Remember the TV thing:Country

TV Viewing Hours

Obesity Rate

Australia 3.25 24.35

Austria 2.72 20.75

Belgium 3.68 11.35

Canada 3.09 23.45

Denmark 2.87 8.85

Finland 2.87 18.35

Ireland 2.58 9.7

Italy 3.98 12.75

Japan 3.73 1.65

Korea 3.19 7.1

New Zealand 2.82 27.3

Portugal 3.41 14.95

Spain 3.82 15.7

Sweden 2.47 11.4

Switzerland 2.47 15.55

Turkey 4.33 21.65United

Kingdom 3 22.9

United States 7.97 39.15r = 0.5378

Page 14: Section 4.1 Exploring Associations between Two Quantitative Variables?

Remember the TV thing:Country

TV Viewing Hours

Obesity Rate

Australia 3.25 24.35

Austria 2.72 20.75

Belgium 3.68 11.35

Canada 3.09 23.45

Denmark 2.87 8.85

Finland 2.87 18.35

Ireland 2.58 9.7

Italy 3.98 12.75

Japan 3.73 1.65

Korea 3.19 7.1

New Zealand 2.82 27.3

Portugal 3.41 14.95

Spain 3.82 15.7

Sweden 2.47 11.4

Switzerland 2.47 15.55

Turkey 4.33 21.65United

Kingdom 3 22.9

United States 7.97 39.15r = 0.0884

Page 15: Section 4.1 Exploring Associations between Two Quantitative Variables?

Questions