dit < View History Bookmarks Window Help סוי canvas.apu.edu a. Predictors: (Constant), BMI ANOVAª Model Sum of Squares df Mean Square F Sig. Regression 20232.767 1 20232.767 56.558 <.001b 1 Residual 18959.960 53 357.735 Total 39192.727 54 a. Dependent Variable: SBP b. Predictors: (Constant), BMI Model Coefficients Unstandardized Standardized Coefficients Coefficients t Sig. B Std. Error Beta (Constant) 39.673 11.841 3.350 .001 1 BMI 3.089 411 .718 7.521 <.001 a. Dependent Variable: SBP The results are statistically significant. The p-value is .507. True False SBP can predict about 50% of the variability in BMI. There is a strong relationship between these variables. There is a positive relationship between these variables. [Choose ] True False There is not enough information to make this claim. True SBP is a significant predictor of BMI. tv DEC 12 False Ը 2
dit < View History Bookmarks Window Help סוי canvas.apu.edu a. Predictors: (Constant), BMI ANOVAª Model Sum of Squares df Mean Square F Sig. Regression 20232.767 1 20232.767 56.558 <.001b 1 Residual 18959.960 53 357.735 Total 39192.727 54 a. Dependent Variable: SBP b. Predictors: (Constant), BMI Model Coefficients Unstandardized Standardized Coefficients Coefficients t Sig. B Std. Error Beta (Constant) 39.673 11.841 3.350 .001 1 BMI 3.089 411 .718 7.521 <.001 a. Dependent Variable: SBP The results are statistically significant. The p-value is .507. True False SBP can predict about 50% of the variability in BMI. There is a strong relationship between these variables. There is a positive relationship between these variables. [Choose ] True False There is not enough information to make this claim. True SBP is a significant predictor of BMI. tv DEC 12 False Ը 2
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.7: Distinguishable Permutations And Combinations
Problem 14E
Related questions
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![dit
<
View
History Bookmarks Window
Help
סוי
canvas.apu.edu
a. Predictors: (Constant), BMI
ANOVAª
Model
Sum of
Squares
df
Mean
Square
F
Sig.
Regression 20232.767 1
20232.767 56.558 <.001b
1
Residual 18959.960 53
357.735
Total
39192.727 54
a. Dependent Variable: SBP
b. Predictors: (Constant), BMI
Model
Coefficients
Unstandardized Standardized
Coefficients
Coefficients
t
Sig.
B
Std.
Error
Beta
(Constant) 39.673 11.841
3.350 .001
1
BMI
3.089
411
.718
7.521 <.001
a. Dependent Variable: SBP
The results are statistically significant.
The p-value is .507.
True
False
SBP can predict about 50% of the variability in BMI.
There is a strong relationship between these variables.
There is a positive relationship between these variables.
[Choose ]
True
False
There is not enough information to make this claim.
True
SBP is a significant predictor of BMI.
tv
DEC
12
False
Ը
2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F64b442f3-1e5e-40d5-9a45-3b09636b6f84%2F3446b508-ffae-4c16-b434-1f052bc077f6%2Ftfuop1o_processed.jpeg&w=3840&q=75)
Transcribed Image Text:dit
<
View
History Bookmarks Window
Help
סוי
canvas.apu.edu
a. Predictors: (Constant), BMI
ANOVAª
Model
Sum of
Squares
df
Mean
Square
F
Sig.
Regression 20232.767 1
20232.767 56.558 <.001b
1
Residual 18959.960 53
357.735
Total
39192.727 54
a. Dependent Variable: SBP
b. Predictors: (Constant), BMI
Model
Coefficients
Unstandardized Standardized
Coefficients
Coefficients
t
Sig.
B
Std.
Error
Beta
(Constant) 39.673 11.841
3.350 .001
1
BMI
3.089
411
.718
7.521 <.001
a. Dependent Variable: SBP
The results are statistically significant.
The p-value is .507.
True
False
SBP can predict about 50% of the variability in BMI.
There is a strong relationship between these variables.
There is a positive relationship between these variables.
[Choose ]
True
False
There is not enough information to make this claim.
True
SBP is a significant predictor of BMI.
tv
DEC
12
False
Ը
2
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