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NUMBER 1

Correlation Matrix

Gender Gr. In mathGender 1.000

Gr. In math .022 1.000

35 sample size

.334 critical value .05 (two-tail)

.430 critical value .01 (two-tail)

Regression Analysis

r 0.000 n 35

r 0.022 k 1

Std. Error 0.513 Dep. Var. Gender

ANOVA table

Source SS df MS F p-value

Regression 0.0042 1 0.0042 0.02 .9006

Residual 8.6815 33 0.2631

Total 8.6857 34

Regression output confidence interval

variables coefficients std. error t (df=33) p-value 95% lower 95% upper

Intercept 0.2347 1.7693 0.133 .8953 -3.3649 3.8344

Gr. In math 0.0026 0.0207 0.126 .9006 -0.0395 0.0447

NUMBER 2

Correlation Matrix

Year level r. In Science

Year level 1.000

Gr. In Science -.007 1.000

35 sample size

.334 critical value .05 (two-tail)

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.430 critical value .01 (two-tail)

Regression Analysis

r 0.000 n 35

r -0.007 k 1

Std. Error 1.050 Dep. Var. Year level

ANOVA table

Source SS df MS F p-value

Regression 0.0017 1 0.0017 0.00 .9688

Residual 36.3983 33 1.1030

Total 36.4000 34

Regression output confidence interval

variables coefficients std. error t (df=33) p-value 95% lower 95% upper

Intercept 2.5448 3.6823 0.691 .4943 -4.9468 10.0364

Gr. In Science -0.0017 0.0434 -0.039 .9688 -0.0900 0.0866

NUMBER 3

Correlation Matrix

Diagnostic Summtaive

Diagnostic 1.000

Summtaive .590 1.000

35 sample size

.334 critical value .05 (two-tail)

.430 critical value .01 (two-tail)

Regression Analysis

r 0.348 n 35

r 0.590 k 1

Std. Error 11.126 Dep. Var. Summtaive

ANOVA table

Source SS df MS F p-value

Regression 2,183.0742 1 2,183.0742 17.64 .0002

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Residual 4,084.8115 33 123.7822

Total 6,267.8857 34

Regression output confidence interval

variables coefficients std. error t (df=33) p-value 95% lower 95% upper

Intercept 13.9470 4.9867 2.797 .0085 3.8014 24.0926Diagnostic 0.6809 0.1621 4.200 .0002 0.3510 1.0108

Regression Analysis

r 0.348 n 35

r 0.590 k 1

Std. Error 9.643 Dep. Var. Diagnostic

ANOVA table

Source SS df MS F p-value

Regression 1,640.0323 1 1,640.0323 17.64 .0002

Residual 3,068.7105 33 92.9912

Total 4,708.7429 34

Regression output confidence interval

variables coefficients std. error t (df=33) p-value 95% lower 95% upper Intercept 11.4301 4.3762 2.612 .0134 2.5267 20.3335

Summtaive 0.5115 0.1218 4.200 .0002 0.2637 0.7593

NUMBER 4

Correlation Matrix

SSC SPA

SSC 1.000

SPA -.717 1.000

7 sample size

.754 critical value .05 (two-tail)

.875 critical value .01 (two-tail)

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Regression Analysis

r 0.514 n 7

r -0.717 k 1

Std. Error 3.372 Dep. Var. SPA

ANOVA tableSource SS df MS F p-value

Regression 60.0219 1 60.0219 5.28 .0700

Residual 56.8352 5 11.3670

Total 116.8571 6

Regression output confidence interval

variables coefficients std. error t (df=5) p-value 95% lower 95% upper

Intercept 161.1136 33.5204 4.806 .0049 74.9468 247.2805

SSC -0.8920 0.3882 -2.298 .0700 -1.8899 0.1059

NUMBER 5

Correlation Matrix

Gr. In math r. In Science

Gr. In math 1.000

Gr. In Science .515 1.000

35 sample size

.334 critical value .05 (two-tail)

.430 critical value .01 (two-tail)

Regression Analysis

r 0.266 n 35

r 0.515 k 1

Std. Error 3.698 Dep. Var. Gr. In math

ANOVA table

Source SS df MS F p-value

Regression 163.1755 1 163.1755 11.93 .0015Residual 451.2245 33 13.6735

Total 614.4000 34

Regression output confidence interval

variables coefficients std. error t (df=33) p-value 95% lower 95% upper

Intercept 40.6644 12.9649 3.136 .0036 14.2870 67.0418

Gr. In Science 0.5281 0.1529 3.455 .0015 0.2171 0.8391

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NUMBER 6

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Correlation Matrix

SSC SPA Reg

SSC 1.000

SPA .826 1.000

Reg .386 .373 1.000

7 sample size

.754 critical value .05 (two-tail)

.875 critical value .01 (two-tail)

Regression Analysis

r 0.682 n 7

r 0.826 k 1

Std. Error 2.305 Dep. Var. SPA

ANOVA table

Source SS df MS F p-value

Regression 56.8632 1 56.8632 10.70 .0222

Residual 26.5654 5 5.3131

Total 83.4286 6

Regression output confidence interval

variables coefficients std. error t (df=5) p-value 95% lower 95% upper

Intercept -18.1405 30.8409 -0.588 .5820 -97.4196 61.1385

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SSC 1.1405 0.3486 3.271 .0222 0.2443 2.0367

Correlation Matrix

Gr. In math Gender

Gr. In math 1.000

Gender .022 1.000

35 sample size

.334 critical value .05 (two-tail)

.430 critical value .01 (two-tail)

t distribution

p(lower) p(upper) t df

.9000 .1000 1.31 33

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y = 0.1842x + 85.316R = 0.0005

76

78

80

82

84

86

88

90

92

94

0 0.2 0.4 0.6 0.8 1

Gr.Inmath

Gender

j

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1.2

y = 0.0026x + 0.2347R = 0.0005

0

0.2

0.4

0.6

0.8

1

1.2

75 80 85 90 95

Gender

Gr. In math

j

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Students Gender Year level Curriculum Diagnostic Summtaive Gr. In math

1 0 1 1 23 21 90

2 0 3 1 28 26 85

3 0 4 2 29 29 84

4 1 2 1 27 30 86

5 1 3 2 29 21 84

6 0 1 1 30 45 86

7 1 2 2 5 16 78

8 0 3 2 41 51 81

9 1 4 2 21 23 87

10 0 4 2 20 19 88

11 1 4 2 17 16 81

12 1 3 3 10 28 81

13 0 1 3 10 29 80

14 1 1 1 51 45 90

15 0 2 3 23 25 81

16 1 2 3 20 26 78

17 0 1 2 43 27 77

18 0 1 3 33 26 84

19 1 2 2 36 18 86

20 1 2 3 31 26 87

21 1 3 2 21 45 88

22 0 3 1 51 67 90

23 0 4 2 26 26 91

24 1 2 3 25 30 88

25 0 3 2 25 36 79

26 1 2 1 47 67 92

27 0 3 1 14 54 88

28 0 1 2 22 26 87

29 0 1 1 45 50 89

30 1 2 2 28 26 90

31 0 3 1 40 41 91

32 1 3 2 26 29 82

33 0 2 2 29 29 83

34 1 2 1 50 53 9035 0 4 1 21 41 87

Gender Gr. In math Year level Gr. In Science Diagnostic

0 90 1 89 23

Gender vs math yr. level vs science

MATRIX

Diagnostic v

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0 85 3 84 28

0 84 4 85 29

1 86 2 87 27

1 84 3 80 29

0 86 1 83 30

1 78 2 77 5

0 81 3 86 411 87 4 82 21

0 88 4 89 20

1 81 4 79 17

1 81 3 86 10

0 80 1 86 10

1 90 1 87 51

0 81 2 82 23

1 78 2 83 20

0 77 1 80 43

0 84 1 86 331 86 2 77 36

1 87 2 76 31

1 88 3 82 21

0 90 3 92 51

0 91 4 90 26

1 88 2 90 25

0 79 3 80 25

1 92 2 82 47

0 88 3 84 14

0 87 1 87 22

0 89 1 89 45

1 90 2 88 28

0 91 3 87 40

1 82 3 85 26

0 83 2 86 29

1 90 2 91 50

0 87 4 88 21

Gr. In mathGr. In Science SSC SPA Reg90 89 90 81 84

85 84 85 80 84

84 85 86 81 78

86 87 86 78 81

84 80 90 84 87

86 83 90 87 88

78 77 92 88 81

Math vs Science Math

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81 86 88 77

87 82 89 86

88 89 91 88

81 79 90 91

81 86 87 79

80 86 87

90 87 9081 82 82

78 83 83

77 80

84 86

86 77

87 76

88 82 female male

90 92 89 87

91 90 84 80

88 90 85 77

79 80 83 82

92 82 86 79

88 84 89 86

87 87 86 87

89 89 82 83

90 88 80 77

91 87 86 76

82 85 92 82

83 86 90 90

90 91 80 82

87 88 84 88

87 85

89 91

87

86

88

Gender Gr. In math xy x2 y hut y hut 2

0.457143 0 90 0 0 1.2 88.8

0.45714 0 85 0 0 1.13333333 83.86666667

0.45714 0 84 0 0 1.12 82.88

Science

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0.45714 1 86 86 1 1.16 84.84

0.45714 1 84 84 1 1.13333333 82.86666667

0.45714 0 86 0 0 1.14666667 84.85333333

0.45714 1 78 78 1 1.05333333 76.94666667

0.45714 0 81 0 0 1.08 79.92

0.45714 1 87 87 1 1.17333333 85.82666667

0.45714 0 88 0 0 1.17333333 86.826666670.45714 1 81 81 1 1.09333333 79.90666667

0.45714 1 81 81 1 1.09333333 79.90666667

0.45714 0 80 0 0 1.06666667 78.93333333

0.45714 1 90 90 1 1.21333333 88.78666667

0.45714 0 81 0 0 1.08 79.92

0.45714 1 78 78 1 1.05333333 76.94666667

0.45714 0 77 0 0 1.02666667 75.97333333

0.45714 0 84 0 0 1.12 82.88

0.45714 1 86 86 1 1.16 84.84

0.45714 1 87 87 1 1.17333333 85.82666667

0.45714 1 88 88 1 1.18666667 86.81333333

0.45714 0 90 0 0 1.2 88.8

0.45714 0 91 0 0 1.21333333 89.78666667

0.45714 1 88 88 1 1.18666667 86.81333333

0.45714 0 79 0 0 1.05333333 77.94666667

0.45714 1 92 92 1 1.24 90.76

0.45714 0 88 0 0 1.17333333 86.82666667

0.45714 0 87 0 0 1.16 85.84

0.45714 0 89 0 0 1.18666667 87.81333333

0.45714 1 90 90 1 1.21333333 88.78666667

0.45714 0 91 0 0 1.21333333 89.78666667

0.45714 1 82 82 1 1.10666667 80.89333333

0.45714 0 83 0 0 1.10666667 81.89333333

0.45714 1 90 90 1 1.21333333 88.78666667

0.45714 0 87 0 0 1.16 85.84

16 2989 1368 16 0 40.0666667 2948.933333

\

47880 47824 560

56 256

beta= 0.1842105

s= 520.41311 2.94715456

sxx= 8.68572 176.5815461

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Gr. In Science

89

84

85

87

80

83

77

86

82

89

79

86

86

87

82

83

80

86

77

76

82

92

90

90

80

82

84

87

89

88

87

85

86

9188

Summtaive SSC SPA

21 89 86

s Summative science knowledge

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26 84 86

29 87 82

30 83 83

21 87 86

45 92 76

16 82 90

51 8423 89

19 87

16 91

28 88

29

45

25

26

27

2618

26

45

67

26

30

36

67

54

26

50

26

41

29

29

53

41

freshmen sophomores juniors seniors21 30 26

45 16 21

29 25 51

45 26 28

27 18 45

26 26 67

26 30 36

Summative

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50 67 54

26 41

29 29

53

x-x2 x22

7033.617778 -0.45714286 0.20898

6869.0944 -0.45714 0.208977

7197.8256 -0.45714 0.208977

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6866.884444 0.54286 0.294697

7200.088178 0.54286 0.294697

5920.789511 -0.45714 0.208977

6387.2064 0.54286 0.294697

7366.216711 -0.45714 0.208977

7538.870044 0.54286 0.294697

6385.075378 -0.45714 0.2089776385.075378 0.54286 0.294697

6230.471111 0.54286 0.294697

7883.072178 -0.45714 0.208977

6387.2064 0.54286 0.294697

5920.789511 -0.45714 0.208977

5771.947378 0.54286 0.294697

6869.0944 -0.45714 0.208977

7197.8256 -0.45714 0.208977

7366.216711 0.54286 0.294697

7536.554844 0.54286 0.294697

7885.44 0.54286 0.294697

8061.645511 -0.45714 0.208977

7536.554844 -0.45714 0.208977

6075.682844 0.54286 0.294697

8237.3776 -0.45714 0.208977

7538.870044 0.54286 0.294697

7368.5056 -0.45714 0.208977

7711.181511 -0.45714 0.208977

7883.072178 -0.45714 0.208977

8061.645511 0.54286 0.294697

6543.731378 -0.45714 0.208977

6706.518044 0.54286 0.294697

7883.072178 -0.45714 0.208977

7368.5056 0.54286 0.294697

8696207.804 -0.45714 0.208977

8937383.529 8.685717

270829.8039

304

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