Below is the SPSS output for the relationship between height at age 3 (X) and at age 20 (Y). Correlations heightAt3 heightAt20 heightAt3 Pearson Correlation 1 .840** Sig. (2-tailed) .000 N 16 16 heightAt20 Pearson Correlation .840** 1 Sig. (2-tailed) .000 N 16 16 **. Correlation is significant at the 0.01 level (2-tailed). ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 236.838 1 236.838 33.628 .000b Residual 98.599 14 7.043 Total 335.438 15 Dependent Variable: heightAt20 Predictors: (Constant), heightAt3 Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 41.679 4.470 9.325 .000 heightAt3 .664 .114 .840 5.799 .000 Dependent Variable: heightAt20 State hypothesis for the correlation: Is the correlation significant using α = .01? State the conclusion in APA format. Evaluate the regression equation using α = .01 and state the conclusion in APA format. what is the regression equation? Using the regression equation, if a child is 42 inches at 3 how tall would you predict that he will be at age 20?
Below is the SPSS output for the relationship between height at age 3 (X) and at age 20 (Y). Correlations heightAt3 heightAt20 heightAt3 Pearson Correlation 1 .840** Sig. (2-tailed) .000 N 16 16 heightAt20 Pearson Correlation .840** 1 Sig. (2-tailed) .000 N 16 16 **. Correlation is significant at the 0.01 level (2-tailed). ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 236.838 1 236.838 33.628 .000b Residual 98.599 14 7.043 Total 335.438 15 Dependent Variable: heightAt20 Predictors: (Constant), heightAt3 Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 41.679 4.470 9.325 .000 heightAt3 .664 .114 .840 5.799 .000 Dependent Variable: heightAt20 State hypothesis for the correlation: Is the correlation significant using α = .01? State the conclusion in APA format. Evaluate the regression equation using α = .01 and state the conclusion in APA format. what is the regression equation? Using the regression equation, if a child is 42 inches at 3 how tall would you predict that he will be at age 20?
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 7E
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Question
- Below is the SPSS output for the relationship between height at age 3 (X) and at age 20 (Y).
|
|||
|
heightAt3 |
heightAt20 |
|
heightAt3 |
Pearson Correlation |
1 |
.840** |
Sig. (2-tailed) |
|
.000 |
|
N |
16 |
16 |
|
heightAt20 |
Pearson Correlation |
.840** |
1 |
Sig. (2-tailed) |
.000 |
|
|
N |
16 |
16 |
|
**. Correlation is significant at the 0.01 level (2-tailed). |
ANOVAa |
||||||
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
1 |
Regression |
236.838 |
1 |
236.838 |
33.628 |
.000b |
Residual |
98.599 |
14 |
7.043 |
|
|
|
Total |
335.438 |
15 |
|
|
|
|
Dependent Variable: heightAt20 |
||||||
Predictors: (Constant), heightAt3 |
Coefficientsa |
||||||
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
||
B |
Std. Error |
Beta |
||||
1 |
(Constant) |
41.679 |
4.470 |
|
9.325 |
.000 |
heightAt3 |
.664 |
.114 |
.840 |
5.799 |
.000 |
|
Dependent Variable: heightAt20 |
- State hypothesis for the correlation:
- Is the correlation significant using α = .01?
- State the conclusion in APA format.
- Evaluate the regression equation using α = .01 and state the conclusion in APA format.
- what is the regression equation?
- Using the regression equation, if a child is 42 inches at 3 how tall would you predict that he will be at age 20?
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