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Tugas 3 uji Asumsi Klasik " Pengaruh Umur dan Jenis Kelamin siswaterhadap Nilai siswa"

Variabel Terikat (Dependent Variabel):

Nilai Siswa

Variabel Bebas  (Independent Variabel)

-        Umur Siswa

-        Jenis Kelamin

 1. Uji Normalitas

Titik-titik pada grafik berada disekitar garis diagonal dan tidak menjauh dari garis. Sehingga, data penelitian ini lulus uji normalitas.

2. Uji Multikolinearitas

Tujuannya untuk dianalisis melalui tabel koofisien.

Variabel umur siswa:

Nilai tolerance : 0,689. Nilai tolerance > 0,1, dan

Nilai VIF = 1,451. Nilai VIF = < 10,

Maka variabel Umur Siswa lulus uji Multikolinearitas.

Variabel Jenis Kelamin siswa:

Nilai tolerance : 0,698. Nilai tolerance > 0,1, dan

Nilai VIF = 1,451. Nilai VIF = < 10,

Maka variabel Jenis Kelamin Siswa lulus uji Multikolinearitas

3. Uji Heteroskedastisitas

Titik titik pada grafik tidak membentuk suatu pola tertentu yang teratur. Dan menyebar di atas dan di bawah angka 0 pada sumbu Y. Maka, data penelitian ini lulus uji hetero

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TUGAS SPSS ( DATA TINGGI BADAN)

DESCRIPTIVES VARIABLES=Tinggi Rata2

  /STATISTICS=MEAN STDDEV MIN MAX.

Descriptives

Notes
Output Created		11-APR-2016 07:58:42
Comments
Input	Active Dataset	DataSet0
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	20
Missing Value Handling	Definition of Missing	User defined missing values are treated as missing.
	Cases Used	All non-missing data are used.
Syntax		DESCRIPTIVES VARIABLES=Tinggi Rata2   /STATISTICS=MEAN STDDEV MIN MAX.
Resources	Processor Time	00:00:00.02
	Elapsed Time	00:00:00.01

Descriptive Statistics
	N	Minimum	Maximum	Mean	Std. Deviation
Tinggi Badan	20	150.00	176.00	165.3500	7.48525
Rata-rata tinggi badan	20	157.33	165.44	163.3520	2.21128
Valid N (listwise)	20

 MEANS TABLES=Tinggi Rata2 BY Gender

  /CELLS=MEAN COUNT STDDEV MIN MAX.

Means

Notes
Output Created		11-APR-2016 08:01:09
Comments
Input	Active Dataset	DataSet0
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	20
Missing Value Handling	Definition of Missing	For each dependent variable in a table, user-defined missing values for the dependent and all grouping variables are treated as missing.
	Cases Used	Cases used for each table have no missing values in any independent variable, and not all dependent variables have missing values.
Syntax		MEANS TABLES=Tinggi Rata2 BY Gender   /CELLS=MEAN COUNT STDDEV MIN MAX.
Resources	Processor Time	00:00:00.03
	Elapsed Time	00:00:00.03

Case Processing Summary
	Cases
	Included		Excluded		Total
	N	Percent	N	Percent	N	Percent
Tinggi Badan  * Jenis Kelamin	20	100.0%	0	0.0%	20	100.0%
Rata-rata tinggi badan  * Jenis Kelamin	20	100.0%	0	0.0%	20	100.0%

Report
Jenis Kelamin		Tinggi Badan	Rata-rata tinggi badan
laki-laki	Mean	171.0000	163.9218
	N	11	11
	Std. Deviation	3.89872	1.59706
	Minimum	162.00	160.50
	Maximum	176.00	165.44
Perempuan	Mean	158.4444	162.6556
	N	9	9
	Std. Deviation	4.06544	2.72632
	Minimum	150.00	157.33
	Maximum	164.00	165.31
Total	Mean	165.3500	163.3520
	N	20	20
	Std. Deviation	7.48525	2.21128
	Minimum	150.00	157.33
	Maximum	176.00	165.44

FREQUENCIES VARIABLES=Rata2

  /HISTOGRAM NORMAL

  /ORDER=ANALYSIS.

Frequencies

Notes
Output Created		11-APR-2016 08:02:14
Comments
Input	Active Dataset	DataSet0
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	20
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data.
Syntax		FREQUENCIES VARIABLES=Rata2   /HISTOGRAM NORMAL   /ORDER=ANALYSIS.
Resources	Processor Time	00:00:02.28
	Elapsed Time	00:00:02.03

Statistics
Rata-rata tinggi badan
N	Valid	20
	Missing	0

Rata-rata tinggi badan
		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	157.33	1	5.0	5.0	5.0
	160.00	1	5.0	5.0	10.0
	160.50	1	5.0	5.0	15.0
	161.00	1	5.0	5.0	20.0
	162.00	1	5.0	5.0	25.0
	162.67	1	5.0	5.0	30.0
	162.88	1	5.0	5.0	35.0
	163.30	1	5.0	5.0	40.0
	163.71	1	5.0	5.0	45.0
	163.75	1	5.0	5.0	50.0
	164.11	1	5.0	5.0	55.0
	164.27	1	5.0	5.0	60.0
	164.62	1	5.0	5.0	65.0
	165.07	1	5.0	5.0	70.0
	165.12	1	5.0	5.0	75.0
	165.21	1	5.0	5.0	80.0
	165.31	1	5.0	5.0	85.0
	165.35	1	5.0	5.0	90.0
	165.40	1	5.0	5.0	95.0
	165.44	1	5.0	5.0	100.0
	Total	20	100.0	100.0

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