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Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

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Scatterplots and Correlations
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Page 1: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

Scatterplots and Correlations

Page 2: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

ScatterplotsDescribing relationship on bivariate data

Page 3: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

Scatterplots and Correlation

Page 4: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

Explanatory variablesA researcher wants to know if taking increasing amounts of ginkgo

biloba will result in increased capacities of memory ability for different students. He administers it to the students in doses of 250 milligrams, 500 milligrams, and 1000 milligrams. What is the explanatory variable in this study?

a) Amount of ginkgo biloba given to each student.

b) Change in memory ability.

c) Size of the student’s brain.

d) Whether the student takes the ginkgo biloba.

Page 5: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

Explanatory variables (answer)A researcher wants to know if taking increasing amounts of ginkgo

biloba will result in increased capacities of memory ability for different students. He administers it to the students in doses of 250 milligrams, 500 milligrams, and 1000 milligrams. What is the explanatory variable in this study?

a) Amount of ginkgo biloba given to each student.b) Change in memory ability.

c) Size of the student’s brain.

d) Whether the student takes the ginkgo biloba.

Page 6: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

Numeric bivariate dataThe first step in analyzing numeric bivariate data is to

a) Measure strength of linear relationship.

b) Create a scatterplot.

c) Model linear relationship with regression line.

Page 7: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

Numeric bivariate data (answer)The first step in analyzing numeric bivariate data is to

a) Measure strength of linear relationship.

b) Create a scatterplot.c) Model linear relationship with regression line.

Page 8: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

ScatterplotsLook at the following scatterplot. Choose which description BEST fits

the plot.

Direction: positive, form: linear, strength: strong Direction: negative, form: linear, strength: strong a) Direction: positive, form: non-linear, strength: weak Direction: negative, form: non-linear, strength: weak a) No relationship

Page 9: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

Scatterplots (answer)Look at the following scatterplot. Choose which description BEST fits

the plot.

Direction: positive, form: linear, strength: strong Direction: negative, form: linear, strength: strong a) Direction: positive, form: non-linear, strength: weak Direction: negative, form: non-linear, strength: weak a) No relationship

Page 10: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

ScatterplotsLook at the following scatterplot. Choose which description BEST fits

the plot.

Direction: positive, form: non-linear, strength: strong Direction: negative, form: linear, strength: strong a) Direction: positive, form: linear, strength: weak Direction: positive, form: non-linear, strength: weak a) No relationship

Page 11: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

Scatterplots (answer)Look at the following scatterplot. Choose which description BEST fits

the plot.

Direction: positive, form: non-linear, strength: strong Direction: negative, form: linear, strength: strong a) Direction: positive, form: linear, strength: weak Direction: positive, form: non-linear, strength: weak a) No relationship

Page 12: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

ScatterplotsLook at the following scatterplot. Choose which description BEST fits

the plot.

Direction: positive, form: non-linear, strength: strong Direction: negative, form: linear, strength: strong a) Direction: positive, form: linear, strength: weak Direction: positive, form: non-linear, strength: weak a) No relationship

Page 13: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

Scatterplots (answer)Look at the following scatterplot. Choose which description BEST fits

the plot.

Direction: positive, form: non-linear, strength: strong Direction: negative, form: linear, strength: strong a) Direction: positive, form: linear, strength: weak Direction: positive, form: non-linear, strength: weak a) No relationship

Page 14: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

ScatterplotsWhich of the following scatterplots displays the stronger linear

relationship?

a) Plot A

b) Plot B Same for both

Page 15: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

Scatterplots (answer)Which of the following scatterplots displays the stronger linear

relationship?

a) Plot A

b) Plot B Same for both

Page 16: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

ScatterplotsLook at the following scatterplot. Which variable is categorical?

a) Height

b) Weight Gender

Page 17: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

Scatterplots (answer)Look at the following scatterplot. Which variable is categorical?

a) Height

b) Weight Gender

Page 18: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

tips for drawing scatterplots1. SCALE THE HORIZONTAL AND VERTICAL

AXES. INTERVAL MUST BE UNIFORM

(DISTANCE OF THE TICK MARKS). IF THE

SCALE DOES NOT BEGIN AT ZERO,

INDICATE A BREAK ON YOUR PLOT.

2. LABEL BOTH AXES

3. IF YOU ARE GIVEN A GRID, TRY TO ADOPT

A SCALE SO THAT YOUR PLOT USES THE

WHOLE GRID. DON’T COMPRESS THE PLOT

INTO ONE CORNER OF THE GRID.

Page 19: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

“r” ranges from −1 to +1

“r” quantifies the strength and direction of a linear relationship between two quantitative variables.

Strength: How closely the points follow a straight line.

Direction is positive when individuals with higher x values tend to have higher values of y.

Page 20: Scatterplots and Correlations. Scatterplots Describing relationship on bivariate data.

Categorical Variables in Scatterplots

TO ADD CATEGORICAL VARIABLE TO A SCATTERPLOT, USE A DIFFERENT COLOR

OR SYMBOL FOR EACH CATEGORY.


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