Question
Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate 1 .734 a .539 .525 4.01409 a. Predictors: (Constant), Wrist
Model Summaryb | ||||
Model | R | R Square | Adjusted R Square | Std. Error of the Estimate |
1 | .734a | .539 | .525 | 4.01409 |
a. Predictors: (Constant), Wrist Circumference | ||||
b. Dependent Variable: Height |
ANOVAa | ||||||
Model | Sum of Squares | df | Mean Square | F | Sig. | |
1 | Regression | 621.793 | 1 | 621.793 | 38.590 | .000b |
Residual | 531.726 | 33 | 16.113 | |||
Total | 1153.519 | 34 | ||||
a. Dependent Variable: Height | ||||||
b. Predictors: (Constant), Wrist Circumference |
Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | ||
B | Std. Error | Beta | ||||
1 | (Constant) | 38.177 | 5.089 | 7.502 | .000 | |
Wrist Circumference | 4.436 | .714 | .734 | 6.212 | .000 |
What is the correct conclusion for testing that there is a significant correlation?
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Continuous Nowhere Differentiable Functions The Monsters Of Analysis
Authors: Marek Jarnicki, Peter Pflug
1st Edition
3319126709, 9783319126708
