The scatterplot illustrates the relationship between two quantitative variables: the number of seeds planted per square foot and the yield of the crop (in pounds per square foot). Yield (lb per sq. ft.) 200 180 160 140 120 100 80 Number of Seeds and Crop Yield 10 20 30 40 50 60 70 80 Seeds (per sq. ft.) 90 Which of the following is an accurate description of the scatterplot? O The more seeds that are planted per square foot, the smaller the expected yield of the crop. O The more seeds that are planted per square foot, the larger the expected yield of the crop. The expected yield of a crop is high whenever the number of seeds planted per square foot is small or large. A larger yield is expected when the number of seeds per square foot is around 60. O The expected yield of a crop is low whenever the number of seeds planted per square foot is small or large. A larger yield is expected when the number of seeds per square foot is around 60.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
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Author:HOLT MCDOUGAL
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Chapter11: Data Analysis And Probability
Section11.3: Using Data Displays
Problem 26E
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The scatterplot illustrates the relationship between two
quantitative variables: the number of seeds planted
per square foot and the yield of the crop (in pounds
per square foot).
Yield (lb per sq. ft.)
200
180
160
140
120
100
80
10
Number of Seeds and Crop Yield
20
30 40 50 60 70 80
Seeds (per sq. ft.)
90
Which of the following is an accurate description of
the scatterplot?
The more seeds that are planted per square foot,
the smaller the expected yield of the crop.
The more seeds that are planted per square foot,
the larger the expected yield of the crop.
The expected yield of a crop is high whenever the
number of seeds planted per square foot is small or
large. A larger yield is expected when the number
of seeds per square foot is around 60.
O The expected yield of a crop is low whenever the
number of seeds planted per square foot is small or
large. A larger yield is expected when the number
of seeds per square foot is around 60.
Transcribed Image Text:The scatterplot illustrates the relationship between two quantitative variables: the number of seeds planted per square foot and the yield of the crop (in pounds per square foot). Yield (lb per sq. ft.) 200 180 160 140 120 100 80 10 Number of Seeds and Crop Yield 20 30 40 50 60 70 80 Seeds (per sq. ft.) 90 Which of the following is an accurate description of the scatterplot? The more seeds that are planted per square foot, the smaller the expected yield of the crop. The more seeds that are planted per square foot, the larger the expected yield of the crop. The expected yield of a crop is high whenever the number of seeds planted per square foot is small or large. A larger yield is expected when the number of seeds per square foot is around 60. O The expected yield of a crop is low whenever the number of seeds planted per square foot is small or large. A larger yield is expected when the number of seeds per square foot is around 60.
The arm span and foot length were both measured (in centimeters) for each of 20 students in a biology class. The
computer output displays the regression analysis.
Predictor Coef SE Coef
Constant
-7.611 2.567
Arm span
0.186 0.035
t-ratio
2.965
5.377
S = 1.61
P
0.046
0.000
R-Sq = 63.0%
R-Sq (Adj) = 64.9%
Which of the following is the best interpretation of the coefficient of determination 2?
About 37% of the variation in arm span is accounted for by the linear relationship formed with the foot length.
About 65% of the variation in foot length is accounted for by the linear relationship formed with the arm span.
About 63% of the variation in arm span is accounted for by the linear relationship formed with the foot length.
About 63% of the variation in foot length is accounted for by the linear relationship formed with the arm span.
Transcribed Image Text:The arm span and foot length were both measured (in centimeters) for each of 20 students in a biology class. The computer output displays the regression analysis. Predictor Coef SE Coef Constant -7.611 2.567 Arm span 0.186 0.035 t-ratio 2.965 5.377 S = 1.61 P 0.046 0.000 R-Sq = 63.0% R-Sq (Adj) = 64.9% Which of the following is the best interpretation of the coefficient of determination 2? About 37% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 65% of the variation in foot length is accounted for by the linear relationship formed with the arm span. About 63% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 63% of the variation in foot length is accounted for by the linear relationship formed with the arm span.
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