1
Correlation and Regression Assignment
Student’s Name
Course
Professor
Date
2
Correlation and Regression Assignment
Below are the results for the parametric and nonparametric correlation tests for part 1 and part 2. They show the direction and magnitude of the
correlation between every two variables, as well as the p-value for statistical significance.
CORRELATIONS
/VARIABLES=WhenHWIndex CorrectHWScale Age Seconds
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Correlations
Notes
Output Created 20-NOV-2022 08:11:27
Comments
Input
Data
C:\Users\jayts\Downloads\HLTH
511 - SPSS Correlation and
Regression Data Part 1.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 100
Missing Value Handling
Definition of Missing User-defined missing values are
treated as missing.
Cases Used
Statistics for each pair of
variables are based on all the
cases with valid data for that
pair.
Syntax
CORRELATIONS
/VARIABLES=WhenHWIndex
CorrectHWScale Age Seconds
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Resources
Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
[DataSet1] C:\Users\jayts\Downloads\HLTH511 - SPSS Correlation and Regression Data Part 1.sav
Correlations
WhenHWIndex CorrectHWScale Age Seconds
WhenHWIndex Pearson Correlation 1 .115 .143 .128
3
Sig. (2-tailed) .256 .155 .204
N 100 100 100 100
CorrectHWScale
Pearson Correlation .115 1 -.039 .131
Sig. (2-tailed) .256 .697 .193
N 100 100 100 100
Age
Pearson Correlation .143 -.039 1 -.118
Sig. (2-tailed) .155 .697 .243
N 100 100 100 100
Seconds
Pearson Correlation .128 .131 -.118 1
Sig. (2-tailed) .204 .193 .243
N 100 100 100 100
NONPAR CORR
/VARIABLES=WhenHWIndex CorrectHWScale Age Seconds
/PRINT=SPEARMAN TWOTAIL NOSIG
/MISSING=PAIRWISE.
Nonparametric Correlations
Notes
Output Created 20-NOV-2022 08:11:27
Comments
Input
Data
C:\Users\jayts\Downloads\HLTH
511 - SPSS Correlation and
Regression Data Part 1.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 100
Missing Value Handling
Definition of Missing User-defined missing values are
treated as missing.
Cases Used
Statistics for each pair of
variables are based on all the
cases with valid data for that
pair.
Syntax
NONPAR CORR
/VARIABLES=WhenHWIndex
CorrectHWScale Age Seconds
/PRINT=SPEARMAN TWOTAIL
NOSIG
/MISSING=PAIRWISE.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
4
Number of Cases Allowed 120989 casesa
a. Based on availability of workspace memory
[DataSet1] C:\Users\jayts\Downloads\HLTH511 - SPSS Correlation and Regression Data Part 1.sav
Correlations
WhenHWIndex CorrectHWScale Age Seconds
Spearman's rho
WhenHWIndex
Correlation Coefficient 1.000 .143 .183 .106
Sig. (2-tailed) . .157 .068 .296
N 100 100 100 100
CorrectHWScale
Correlation Coefficient .143 1.000 -.044 .144
Sig. (2-tailed) .157 . .667 .151
N 100 100 100 100
Age
Correlation Coefficient .183 -.044 1.000 -.115
Sig. (2-tailed) .068 .667 . .257
N 100 100 100 100
Seconds
Correlation Coefficient .106 .144 -.115 1.000
Sig. (2-tailed) .296 .151 .257 .
N 100 100 100 100
DATASET ACTIVATE DataSet2.
CORRELATIONS
/VARIABLES=IV1 IV2 IV3 DV
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Correlations
Notes
Output Created 20-NOV-2022 08:34:58
Comments
Input
Data
C:\Users\jayts\Downloads\HLTH
511 - SPSS Correlation and
Regression Data Part 2.sav
Active Dataset DataSet2
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 12
Missing Value Handling Definition of Missing User-defined missing values are
treated as missing.
5
Cases Used
Statistics for each pair of
variables are based on all the
cases with valid data for that
pair.
Syntax
CORRELATIONS
/VARIABLES=IV1 IV2 IV3 DV
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Resources
Processor Time 00:00:00.00
Elapsed Time 00:00:00.09
[DataSet2] C:\Users\jayts\Downloads\HLTH511 - SPSS Correlation and Regression Data Part 2.sav
Correlations
IV1 IV2 IV3 DV
IV1
Pearson Correlation 1 -.857** .141 .922**
Sig. (2-tailed) .000 .662 .000
N 12 12 12 12
IV2
Pearson Correlation -.857** 1 -.165 -.925**
Sig. (2-tailed) .000 .608 .000
N 12 12 12 12
IV3
Pearson Correlation .141 -.165 1 .167
Sig. (2-tailed) .662 .608 .603
N 12 12 12 12
DV
Pearson Correlation .922** -.925** .167 1
Sig. (2-tailed) .000 .000 .603
N 12 12 12 12
**. Correlation is significant at the 0.01 level (2-tailed).
NONPAR CORR
/VARIABLES=IV1 IV2 IV3 DV
/PRINT=SPEARMAN TWOTAIL NOSIG
/MISSING=PAIRWISE.
Nonparametric Correlations
Notes
Output Created 20-NOV-2022 08:34:58
Comments
6
Input
Data
C:\Users\jayts\Downloads\HLTH
511 - SPSS Correlation and
Regression Data Part 2.sav
Active Dataset DataSet2
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 12
Missing Value Handling
Definition of Missing User-defined missing values are
treated as missing.
Cases Used
Statistics for each pair of
variables are based on all the
cases with valid data for that
pair.
Syntax
NONPAR CORR
/VARIABLES=IV1 IV2 IV3 DV
/PRINT=SPEARMAN TWOTAIL
NOSIG
/MISSING=PAIRWISE.
Resources
Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Number of Cases Allowed 120989 casesa
a. Based on availability of workspace memory
[DataSet2] C:\Users\jayts\Downloads\HLTH511 - SPSS Correlation and Regression Data Part 2.sav
Correlations
IV1 IV2 IV3 DV
Spearman's rho
IV1
Correlation Coefficient 1.000 -.867** .191 .916**
Sig. (2-tailed) . .000 .552 .000
N 12 12 12 12
IV2
Correlation Coefficient -.867** 1.000 -.316 -.940**
Sig. (2-tailed) .000 . .317 .000
N 12 12 12 12
IV3
Correlation Coefficient .191 -.316 1.000 .274
Sig. (2-tailed) .552 .317 . .388
N 12 12 12 12
DV
Correlation Coefficient .916** -.940** .274 1.000
Sig. (2-tailed) .000 .000 .388 .
N 12 12 12 12
**. Correlation is significant at the 0.01 level (2-tailed).
Parametric correlation test
7
The correlation between the variables WhenHWIndex and CorrectHWScale is positive. Since the correlation is below 0.5, it is a weak positive
correlation. The significance coefficient between the two variables is 0.256 which is greater than the p-value of 0.05. Therefore the correlation
between the two variables is not significant. The correlation between WhenHWIndex and age is 0.143 which indicates a weak positive
correlation between the two variables. The significant coefficient is 0.155 which implies that the correlation between the two variables is not
significant. The correlation between WhenHWIndex and seconds is 0.128 which also indicates a weak positive correlation between the two
variables. The significant coefficient is 0.204 which is greater than α. Therefore, the correlation between the two variables is not significant. The
correlation between CorrectHWScale and age is -0.039 which indicates a weak positive correlation between the two variables. The significance
coefficient between the two variables is 697 which shows that the correlation between the two variables is not significant. The correlation
between CorrectHWScale and seconds is 0.131 which indicates a weak positive correlation between the two variables. The significance
coefficient between the two variables is 0.193 which shows that the correlation between the two variables is not significant. The correlation
between age and seconds is -0.118. this indicates a weak negative correlation between age and seconds. The correlation coefficient between the
two variables is 0.243 which indicates that the correlation between them is not significant.
Nonparametric correlation test
There is a weak positive correlation between WhenHWIndex and CorrectHWScale, whci is 0.143. The correlation coefficient (p-value) between
the two variables is greater than 0.05. Therefore the correlation between the variables is not significant. There is a weak positive correlation
between WhenHWIndex and age while the significance coefficient between the two variables indicates that the correlation is not significant. The
correlation between WhenHWIndex and Seconds is 0.106 which shows a weak positive correlation between the two variables. The significance
coefficient of 0.296 indicates the insignificance of the correlation. CorrectHWScale and Age have a weak negative correlation of -0.044 and the
significance coefficient between them indicates that the correlation is not significant. CorrectHWScale and Seconds have a weak positive
correlation of 0.144. the significance coefficient of 0.151 indicates that the correlation is not significant. Age and Seconds have a negative
correlation coefficient of -0.115. The significance coefficient of 0.257 shows that the correlation is not significant.
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