w are four bivariate data sets and the scatter plot for each. (Not each scatter plot is displayed on the same scale.) Each data set e up of sample values drawn from a population. O 1.0 o 2.0 1.0 8.5 2.0 4.8 LO 3.0 3.0 10.4 LO 4.0 4.0 6.1 .0 5.0 5.0 2.0 6.0 5.3 7.0 9.1 8.0 3.7 9.0 9.6 Figure 2 O 6.0 .이 7.0 LO8.0 9.0 Figure 1 p.0 10.0 10.0 7.1 O 7.9 0 7.5 L0 7.5 1.0 4.0 2.0 6.3 3.0 6.9

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A www-awn.aleks.com
O REGRESSION AND CORRELATION
Linear relationship and the..
OOO OD
DOOC
Shasia
v
Below are four bivariate data sets and the scatter plot for each. (Note
that each scatter plot is displayed on the same scale.) Each data set is
made up of sample values drawn from a population.
1.0 1.0
2.0 2.0
3.0 3.0
1.0 8.5
2.0 4.8
3.0 10.4
4.0 4.0
4.0 6.1
5.0 5.0
5.0 2.0
6.0 6.0
6.0 5.3
7.0 7.0
8.0 | 8.0
7.0 9.1
8.0 3.7
9.0 9.0 Figure 1
9.0 9.6 Figure 2
10.0 10.0
10.0 7.1
w
m n
1.0 7.9
1.0 4.0
2.0 | 7.5
2.0 6.3
3.0 6.9
3.0 7.5
4.0 5.9
4.0 5.0
5.06.8
5.0 4.9
6.0 4.4
6.0 8.2
7.0 5.0
7.0 5.3
8.0 3.2
9.0 4.4 Figure 3
8.0 7.1
9.0 8.5 Figure 4
10.0 2.8
10.0 7.3
Answer the following questions. The same response may be the correct
answer for more than one question.
1. Which data set has an apparent positive, but not
perfect, linear relationship between its two variables?
Choose one
2. Which data set indicates a perfect positive linear
relationship between its two variables?
Choose one
3. In which data set is there evidence of a strong
nonlinear relationship between the two variables?
Choose one
4. Which data set indicates the strongest negative linear
relationship between its two variables?
Choose one
?
Explanation
Check
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Transcribed Image Text:1:33 AA A www-awn.aleks.com O REGRESSION AND CORRELATION Linear relationship and the.. OOO OD DOOC Shasia v Below are four bivariate data sets and the scatter plot for each. (Note that each scatter plot is displayed on the same scale.) Each data set is made up of sample values drawn from a population. 1.0 1.0 2.0 2.0 3.0 3.0 1.0 8.5 2.0 4.8 3.0 10.4 4.0 4.0 4.0 6.1 5.0 5.0 5.0 2.0 6.0 6.0 6.0 5.3 7.0 7.0 8.0 | 8.0 7.0 9.1 8.0 3.7 9.0 9.0 Figure 1 9.0 9.6 Figure 2 10.0 10.0 10.0 7.1 w m n 1.0 7.9 1.0 4.0 2.0 | 7.5 2.0 6.3 3.0 6.9 3.0 7.5 4.0 5.9 4.0 5.0 5.06.8 5.0 4.9 6.0 4.4 6.0 8.2 7.0 5.0 7.0 5.3 8.0 3.2 9.0 4.4 Figure 3 8.0 7.1 9.0 8.5 Figure 4 10.0 2.8 10.0 7.3 Answer the following questions. The same response may be the correct answer for more than one question. 1. Which data set has an apparent positive, but not perfect, linear relationship between its two variables? Choose one 2. Which data set indicates a perfect positive linear relationship between its two variables? Choose one 3. In which data set is there evidence of a strong nonlinear relationship between the two variables? Choose one 4. Which data set indicates the strongest negative linear relationship between its two variables? Choose one ? Explanation Check 2021 McGraw-Hill Education. All Rights Reserved. Terms of Use | Privacy Accessibility
1. Which data set has an apparent positive, but not
perfect, linear relationship between its two variables?
Choose one
2. Which data set indicates a perfect positive linear
relationship between its two variables?
the w, t data set
3. In which data set is there evidence of a strong
Choose one
nonlinear relationship between the two variables?
4. Which data set indicates the strongest negative linear
relationship between its two variables?
Choose one
Done
Choose one
the x, y data set
the u, v data set
the w, t data set
the m, n data set
none of the data sets
Transcribed Image Text:1. Which data set has an apparent positive, but not perfect, linear relationship between its two variables? Choose one 2. Which data set indicates a perfect positive linear relationship between its two variables? the w, t data set 3. In which data set is there evidence of a strong Choose one nonlinear relationship between the two variables? 4. Which data set indicates the strongest negative linear relationship between its two variables? Choose one Done Choose one the x, y data set the u, v data set the w, t data set the m, n data set none of the data sets
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