40 statistics questions

Grove & Cipher

Exercise 30

Descriptives

Statistic Std. Error

In_Seat_Program Mean .55 .114

95% Confidence Interval for

Mean

Lower Bound .31

Upper Bound .79

5% Trimmed Mean .56

Median 1.00

Variance .261

Std. Deviation .510

Minimum 0

Maximum 1

Range 1

Interquartile Range 1

Skewness -.218 .512

Kurtosis -2.183 .992

No._of_Degrees Mean 1.00 .162

95% Confidence Interval for

Mean

Lower Bound .66

Upper Bound 1.34

5% Trimmed Mean 1.00

Median 1.00

Variance .526

Std. Deviation .725

Minimum 0

Maximum 2

Range 2

Interquartile Range 2

Skewness .000 .512

Kurtosis -.931 .992

Months_to_Completion Mean 13.35 .737

95% Confidence Interval for

Mean

Lower Bound 11.81

Upper Bound 14.89

5% Trimmed Mean 13.22

Median 13.00

Variance 10.871

Std. Deviation 3.297

Minimum 9

Maximum 20

Range 11

Interquartile Range 7

Skewness .263 .512

Kurtosis -1.016 .992

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

In_Seat_Program .361 20 .000 .637 20 .000

No._of_Degrees .250 20 .002 .815 20 .001

Months_to_Completion .159 20 .200* .931 20 .160

*. This is a lower bound of the true significance.

a. Lilliefors Significance Correction

In_Seat_Program

No._of_Degrees

Months_to_Completion

Regression

Variables Entered/Removeda

Model Variables Entered

Variables

Removed Method

1 No._of_Degrees,

In_Seat_Programb

. Enter

a. Dependent Variable: Months_to_Completion

b. All requested variables entered.

Model Summaryb

Model R R Square Adjusted R Square

Std. Error of the

Estimate

1 .871a .759 .730 1.712

a. Predictors: (Constant), No._of_Degrees, In_Seat_Program

b. Dependent Variable: Months_to_Completion

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 156.723 2 78.361 26.735 .000b

Residual 49.827 17 2.931

Total 206.550 19

a. Dependent Variable: Months_to_Completion

b. Predictors: (Constant), No._of_Degrees, In_Seat_Program

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) 17.309 .696 24.857 .000

In_Seat_Program -4.235 .851 -.656 -4.978 .000 .818 1.222

No._of_Degrees -1.630 .599 -.359 -2.723 .014 .818 1.222

a. Dependent Variable: Months_to_Completion

Collinearity Diagnosticsa

Model Dimension Eigenvalue Condition Index

Variance Proportions

(Constant) In_Seat_Program No._of_Degrees

1 1 2.553 1.000 .04 .05 .04

2 .267 3.092 .32 .90 .07

3 .180 3.766 .64 .06 .90

a. Dependent Variable: Months_to_Completion

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 9.81 17.31 13.35 2.872 20

Residual -2.444 2.926 .000 1.619 20

Std. Predicted Value -1.231 1.378 .000 1.000 20

Std. Residual -1.428 1.709 .000 .946 20

a. Dependent Variable: Months_to_Completion