Scatter Plot (Linear) - Graph to Prediction Given Y (Level 1)

This math topic focuses on interpreting linear scatter plots to predict values based on given data. It involves analyzing scatter plot graphs to estimate dependent variable values for given independent variable inputs. The problems center on making reasonable predictions about variables like class size, age, and temperature from scatter plot trends when grades, points, and sales values are specified. Each problem presents different scenarios requiring the estimation of a variable, giving practice in using visual data representations to make inferences and predictions effectively.

Work on practice problems directly here, or download the printable pdf worksheet to practice offline.

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Graphing - Scatter Plot (Linear) - Graph to Prediction Given Y Worksheet

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Graphing - Scatter Plot (Linear) - Graph to Prediction Given Y
1
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If seeds is 13.5, what would a reasonable value of temperature be?
a
20
b
36
2
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If sales is 170, what would a reasonable value of temperature be?
a
16
b
36
3
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If points is 200, what would a reasonable value of age be?
a
50
b
10
4
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If mark is 70.25, what would a reasonable value of exam length be?
a
128
b
38
5
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If points is 230, what would a reasonable value of age be?
a
75
b
35
6
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If mark is 68, what would a reasonable value of exam length be?
a
165
b
60
7
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If grade is 75, what would a reasonable value of class size be?
a
12
b
20
8
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If grade is 72, what would a reasonable value of class size be?
a
11
b
23