Based on the scatterplot, describe the association between the two variables. Comment on form, direction, and strength.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Based on the scatterplot, describe the association between the two variables. Comment on form, direction, and strength.

Two Quantitative Variables
Select data Choose
Enter data
PovPct BirthRate
14.9
9.6
12.8
15.2
11.5
9.7
10.9
12.4
24.8
17.7
16.6
27.8
11
12.5
7.6
14.6
15.2
Rossman/Chance Applet Collec
(Explanatory, Response)
Use Data Clear
n = 50
Show descriptive statistics:
PovPct: mean-11.61, SD-2.60
BirthRate: mean-15.65, SD-5.66
Explore lines
Show Movable Line: O
Results
BirthRate
28
2
14
7
12
Povpct
Show data options: O
16
20
Show Regression Line:
BirthRate^= -5.10 +1.79 x PovPct
Show Residuals: O
Show Squared Residuals:
Correlation coefficient: -0.819
R-squared: O
Regression SE: O
Design population for random sampling: Regression table:
Design population
Term
Coeff SE t-stat p-value
Intercept -5.10 2.150 -2.37 0.0218
PovPct
1.79 0.181 9.88
<0.0001
Transcribed Image Text:Two Quantitative Variables Select data Choose Enter data PovPct BirthRate 14.9 9.6 12.8 15.2 11.5 9.7 10.9 12.4 24.8 17.7 16.6 27.8 11 12.5 7.6 14.6 15.2 Rossman/Chance Applet Collec (Explanatory, Response) Use Data Clear n = 50 Show descriptive statistics: PovPct: mean-11.61, SD-2.60 BirthRate: mean-15.65, SD-5.66 Explore lines Show Movable Line: O Results BirthRate 28 2 14 7 12 Povpct Show data options: O 16 20 Show Regression Line: BirthRate^= -5.10 +1.79 x PovPct Show Residuals: O Show Squared Residuals: Correlation coefficient: -0.819 R-squared: O Regression SE: O Design population for random sampling: Regression table: Design population Term Coeff SE t-stat p-value Intercept -5.10 2.150 -2.37 0.0218 PovPct 1.79 0.181 9.88 <0.0001
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