8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
1/16
SPSS
Easy Guide
Regression)
A
z
u
r
a
I
s
h
a
k
P
r
e
p
a
r
e
d
B
y
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
2/16
Refer the module in this page
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
3/16
LinearRegression
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
4/16
! Is there any impact/contribution of
experience duration of using SPSS
software towards data analysis attitude?
"
data analysis attitude (numerical)
" Experience duration of using
SPSS(numerical)
REALTIONSHIP
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
5/16
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
6/16
Very strong relationship between duration experience of using SPSS and data analysis attitude (pre)
About 76.8 variance in data
analysis attitude (y) is
explained by duration
experience of using SPSS (x)
Conclude that duration experience of using
SPSS significantly impact/ contribute towards
data analysis attitude, p
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
7/16
MultipleRegression
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
8/16
" 1 Dependent Variable -DV (numerical)
"
>1 Independend Variable -IV (numerical)
" Correlation between IV and DV not too small
(approximate 0) and correlation between DV
and DV not too large (>0.9) otherwise have to
remove one of the DV.
" Outlier based on scatterplot (-3, +3)
! Is there any contribution of age, attitude
and monthly salary towards quality of
work?
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
9/16
Correlation between IV and DV not too small
DV
correlation between DV and DV
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
10/16
DV –Quality of Works
IV
– Age, Attitude & Monthly Salary
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
11/16
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
12/16
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
13/16
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
14/16
Outlier in between -3 to +3
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
15/16
Outlier in between -3 to +3
About 80.8 variance in
DV(Quality) is explained by
IV (age, salary and attitude)
Conclude that attitude(Beta=0.909, p0.05) and
age (0.087, p>0.05).
Regression model fit the data. p
8/18/2019 SPSS Training @ FTSM - Day 3 (Regression)
16/16
Top Related