REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA /CRITERIA=PIN

ID: 3234033 • Letter: R

Question

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS CI(95) R ANOVA

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT StartDate

/METHOD=ENTER Q17 Q18 Q19.

Variables Entered/Removeda

Model Variables Entered Variables Removed Method

1 Current job category, Tell us about yourself, Age groupb . Enter

a Dependent Variable: Start Date

b All requested variables entered.

Model Summary

Model R R Square Adjusted R Square Std. Error of the Estimate

1 .140a .020 -.060 6 21:23:59.485

a Predictors: (Constant), Current job category, Tell us about yourself, Age group

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 261847753029.389 3 87282584343.130 .246 .864b

Residual 13118282652919.643 37 354548179808.639

Total 13380130405949.031 40

a Dependent Variable: Start Date

b Predictors: (Constant), Current job category, Tell us about yourself, Age group

Coefficientsa

Model Unstandardized Coefficients Standardized Coefficients t Sig. 95.0% Confidence Interval for B

B Std. Error Beta Lower Bound Upper Bound

1 (Constant) 13700780792.137 668185.308 20504.463 .000 13699426920.101 13702134664.172

Tell us about yourself -183963.357 285744.179 -.105 -.644 .524 -762936.058 395009.344

Age group 35516.564 79490.523 .073 .447 .658 -125546.535 196579.663

Current job category 43831.359 188870.713 .038 .232 .818 -338857.055 426519.774

a Dependent Variable: Start Date

How much of the overall results are explained by the model? What is the basis for this conclusion, as in, what values would you use?

We will use the value of R - square for this problem.

From the given table,

R - square = 0.020

Hence,

2%of the variation in dependent variable is explained by the model

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