#Uji regresi dengan spss 16 manual#

Data analysis employed statistical test with the stages of normality test, homogenity, t-test, regression analysis, and non-parametric test using SPSS version16.0. Data were collected through observation, test, and interview. Sample was taken using stratified random sampling technique. The subjects of the research were the eighth graders of SMPN 6, SMPN 19, and SMPN 24 Banjarmasin. Meanwhile, quantitative approach was used in developing a problem solving-based mathematics teaching learning model with creativity content. Qualitative approach was employed to reveal how studentsвЂ™ creative character/value develops through mathematics teaching learning and what factors influence the growth and development of the creativity throughout the time. The research used a mix of qualitative and quantitative approaches, with quantitative being the most dominant. It is broken down into four research questions as follows: (a) How is the creativity of Junior High School students in Banjarmasin currently? (b) How is the development of creativity values through problem solving-based mathematics teaching learning model? (c) Is there any significant difference in the level of creativity between a group of students who were treated with problem solving-based teaching learning and those with conventional teaching learning? (d) What factors influence the growth and development of studentsвЂ™ creativity? To develop a problem solving-based mathematics teaching learning model with creativity content, PolyaвЂ™s theory on problem solving and LickonaвЂ™s theory on the three stages of moral value formation were employed. The main issue addressed by the research is why mathematics teaching learning has not yet developed studentвЂ™s creative character optimally. Kesimpulan: вЂњBahwa Berat Badan Berpengaruh Signifikan Terhadap Berat BadanвЂќ.The dissertation presents the results of research on a problem solving-based mathematics teaching learning model with creativity content conducted in Junior High Schools in Banjarmasin. Ho: ПЃxy = 0 (Tidak terdapat hubungan antara tinggi badan dan berat badan) H1: ПЃxy в‰ 0 (Terdapat hubungan antara tinggi badan dan berat badan)Дari tabel t dengan О± = 0,05 Diperoleh ttab = t0.025 df=8 = 2,306 Kriteria uji: Karena

#Uji regresi dengan spss 16 manual#

Untuk Penghitungan Manual Sebagai Berikut:. Correlation is significant at the 0.01 level (2-tailed). Statistics for each pair of variables are based on all the cases with valid data for that pair. Standardized Unstandardized Coefficients Model 1Д¬ORRELATIONS /VARIABLES=X Y /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI R ANOVA CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X.ДЄ. Statistics are based on cases with no missing values for any variable used. User-defined missing values are treated as missing.ДЇRANDIKA SEPTA (TUGAS REGRESI DAN KORELASI MENGGUNAKAN SPSS) || Tinggi Badan ( cm ) X 168 173 162 157 160 165 163 170 168 164Д«erat Badan ( KG ) Y 63 81 54 49 52 62 56 78 64 61Дitanya: -Tentukan Nilai Koefisien Korelasi dan Regresi -Apakah Nilai Koefisien Signifikan atau Tidak Jawab: -Nilai Koefisien Korelasi dan Regresin Menggunakan SPSS REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI R ANOVA CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X.