Koefisien Determinasi SPSS - YouTube

Assalamualaikum warahmatullahi wabarakatuh

good afternoon all friends.

On this occasion, I will teach material about

the analysis of the coefficient of determination or R-square

using the SPSS program.

Here there are three basic concepts for the coefficient of determination.

For the first basic concept

coefficient of determination or R-square aims to measure how far

the model's ability to explain variations in the dependent variable.

And secondly,

the value of the coefficient of determination ranges between 0 and 1.

For the last basic concept,

value close to 1 means that the independent variable provides almost all the information needed

to predict the variation of the dependent variable.

Here I have a case example for the coefficient of determination or R-square

with the title research "the influence of attitudes, discipline and skills on work productivity at PT AS28".

In the title of this research, I use three independent variables,

namely the attitude, discipline and skill

variables and one dependent variable, namely the work productivity variable

with the formulation of the problem

how the influence of the attitude, discipline and skill variables on the work productivity variable.

Next I will go to the SPSS program

where in the initial view there is a page data view and a page variable view.

But we will go to the data view page because I have prepared the data.

Immediately, I will analyze this data to find out

how much the independent variable contributes to the dependent variable

for the analysis of the coefficient of determination.

The way we choose analyze, then we choose regression and we choose linear.

Here a dialog box appears

For the attitude, discipline and skill variables, we move them to the independent column,

which means there are three independent variables

for the work productivity variable, we move them to the dependent column and then we select OK.

Here, the SPSS output for

the regression output appears. In this regression output, there are several tables,

there are four tables

but our focus is on the summary model table for

the analysis of the coefficient of determination.

I have copied this table in a PDF file

to interpret this table.

Immediately we go to the PDF file

where here is an analysis of the SPSS output for the model summary table.

From the output of the summary model, the adjusted R-square value or coefficient of determination

is 0.731, which means the effect of the independent variable or X variable

on the dependent variable is 73.1%

I use the adjusted R-square because in this study

I used multiple linear regression because there are three independent variables.

I think that's enough explanation about the coefficient of determination

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I'm finish

Wassalamualaikum warahmatullahi wabarakatuh