QUESTION 6
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Model Summary |
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Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
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1 |
.641a |
.410 |
.406 |
4.507 |
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a. Predictors: (Constant), age 3 groups, Total Mastery, Total Optimism |
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Coefficientsa |
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Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
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B |
Std. Error |
Beta |
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1 |
(Constant) |
50.016 |
1.409 |
35.508 |
.000 |
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Total Mastery |
-.786 |
.067 |
-.526 |
-11.719 |
.000 |
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Total Optimism |
-.217 |
.060 |
-.164 |
-3.623 |
.000 |
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age 3 groups |
-.712 |
.275 |
-.098 |
-2.588 |
.010 |
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a. Dependent Variable: Total perceived stress |
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What proportion of the variation in Total Perceived Stress can be explained by the independent variables in the full model provided?
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a. 50.02 |
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b. 35.51 |
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c. 4.51 |
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d. .41 |

QUESTION 6 Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate...
QUESTION 3 Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 50.016 1.409 35.508 .000 Total Mastery -.786 .067 -.526 -11.719 .000 Total Optimism -.217 .060 -.164 -3.623 .000 age 3 groups -.712 .275 -.098 -2.588 .010 a. Dependent Variable: Total perceived stress Write a regression line equation referencing the SPSS output provided. ……………………………………………………………………………………………………………….. ……………………………………………………………………………………………………………….. ……………………………………………………………………………………………………………….. QUESTION 4 Explain the criteria required to assume causality. ……………………………………………………………………………………………………………….. ……………………………………………………………………………………………………………….. ………………………………………………………………………………………………………………..
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Models 1-7 are below
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Hello, appreciate if anyone could help me on Multiple Regression
analysis. Thanks!
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