5A

Store Location Average Household Income ($1000s) Number of Organic Vegetables Offered Store Location Average Household Income

($1000s)

 Number of Organic Vegetables Offered
S. Flores 71 36 Marbach Rd. 49 38
N. Rosillo St. 34 4 Babcock Rd. 66 84
Nogalitos St. 71 28 Wurzbach Rd. 87 61
Fredericksburg Rd. 49 31 W. Loop 1604 N. 78 56
Olmos 78 78 Bandera Rd. 59 62
N. New Braunfels Ave. 41 14 S. New Braunfels 50 44
Castroville 38 12 S.W. Military 48 26
Culebra Rd. 50 18 S. Zarzamora 56 29
S.E. Military Dr. 50 65 E. Basse Rd. 125 95
Skill or Concept: I can . . . Questions to check your understanding Rating
from 1 to 5
Read a scatterplot. 4–6
Use a scatterplot to determine whether a relationship between two variables has a positive trend, negative trend, or no trend. 7
Use a scatterplot to identify linear relationships, non-linear relationships, and outliers. 8
Animal Gestation Period Longevity Heart Rate (b/m) Weight (lbs)
Bear 220 22 80 600
Cat 61 11 130 8
Cow 280 11 66 1800
Deer 249 13 45 125
Dog 63 11 110 50
Donkey 365 19 41 450
Fox 57 9 120 7
Giraffe 450 20 65 1800
Goat 151 12 75 60
Groundhog 31 7 80 9
Horse 336 23 34 1400
Kangaroo 35 5 36 120
Lion 108 10 60 350
Monkey 205 14 192 25
Pig 115 10 95 200
Sheep 151 12 75 200
Squirrel 44 8 120 1
Wolf 62 11 70 80
Variables Correlation Coefficient Description of Strength

 
Gestation Period, Heart Rate
Weight, Longevity
Gestation Period, Longevity
Correlation Coefficient, General Interpretation
-1 to -0.7 Strong negative linear relationship
-0.7 to -0.3 Moderate negative linear relationship
-0.3 to -0.1 Weak negative linear relationship
-0.1 to 0.1 Negligible or no linear relationship
0.1 to 0.3 Weak positive linear relationship
0.3 to 0.7 Moderate positive linear relationship
0.7 to 1 Strong positive linear relationship

A scatterplot of alcohol content vs calories. The points on the graph are grouped relatively close together in a roughly linear pattern. The higher x-values generally also have higher y-values. A scatterplot with points that are loosely grouped together in a linear fashion. As the x-values of the points increase, y-values generally decrease. A scatterplot of performance versus attractiveness. The points are somewhat clustered together in various areas, but there is no general pattern to them. A scatterplot labeled "Vote Totals for Reform Party Candidate." Most of the points have low y-values, but there is one point with a much higher y-value that is circled. A scatterplot of fuel efficiency versus steady driving speed. Going from left to right, the first two points have similar and low y-values, the second two points have similar and moderate y-values, the next three points have similar and high y-values and the rest of the points are arranged in an approximately linear fashion with decreasing y-values as the x-values increase.

A scatterplot of energy content and carbon footprint, labeled "Energy Content (kCal)" on the x-axis and "Carbon Footprint (g CO2)" on the y-axis. The points are not close together but are arranged in a very loosely linear pattern. A scatterplot with points that are not grouped particularly close together but are arranged in a roughly linear pattern, with higher x-values generally having lower y-values. A scatterplot with points that are not close together and have no strong pattern. A scatterplot with points that are arranged in a roughly linear fashion. The points with higher x-values generally also have higher y-values.

A scatterplot showing "Average Household Income ($1000s)" on the x-axis and "Number of Organic Vegetables Offered" on the y-axis. There is a circled point at approximately (125, 95).

Glossary

scatterplot
a graph used to visualize the relationship between bivariate data.
bivariate data
two quantitative variables.
positive trend
when the response variable tends to increase as the explanatory variable increases
negative trend
the response variable tends to decrease as the explanatory variable increases.
linear
resembling a straight line.