Interpretation of SPSS Results Dependent Variable

1. Gross Domestic Product

Independent Variable

1. Imports 2. Exports 3. Exchange Rate

From the following variables following statement have been made;

Statement No. 1

Ho: Export has insignificant relationship with GDP

H1: Export has significant relationship with GDP

Statement No. 2

Ho: Import has insignificant relationship with GDP

H1: Import has significant relationship with GDP

Statement No. 3

Ho: Exchange rate has insignificant relationship with GDP

H1: Exchange rate has significant relationship with GDP

Interpretation of SPSS Results The following is the result which has been derived from the SPSS software. Our hypothesis

statement is mentioned above.

We check from the T test value (Sig.) column that whether there is a significant relation or

insignificant relation

If T test value (Sig.) is more than 0.5 than its insignificant

If T test value (Sig.) is less than 0.5 than its significant

In “t” column if any of the variables shows a negative sign (-) it means that there is inverse

relation other than the constant (dependent variable)

Imports have a significant relation with Gross Domestic Product

Exports have a significant relation with Gross Domestic Product

Exchange Rate has an insignificant with Gross Domestic Product

Other than that Imports also show an inverse relation with your constant variable which was

GDP

Interpretation of SPSS Results

Durbin Watson and Sig. F Change

The value of Durbin Watson which comes after the analysis should fall within

1.7 to 2.00

If the results are not coming accurate then what should we do?

1. Increase Your Sample Size

2. Transform your variables ( by taking log, anti-lo, Square root and etc)

Our Durbin-Watson over here is 1.856 which is correct

Another than this the thing which should be kept in mind is “Sig. F Change”. In most cases it

should be 0.000 but rarely it exceed 0.000 up to 0.001 not more than this

R and R square

The thing to be remembered while interpreting is that when we get our results we should firstly

see R. The value of R depends on your research but mostly the amount should be greater than

0.800 upto 0.950.

If it exceeds the above value then there is misrepresentation of your data

Your R square depends on your R value

Interpretation of SPSS Results

Correlations

After the analysis of data when you go through your data the main thing which you have

check is the correlation between the variables which you have selected

In the Pearson Correlation section every variable when is in the same no of row and column

must represent the value which is exactly 1.000. The rest of the figures should not exceed

1.000

The chart will show a negative slope from the top to the bottom (from GDP to Exchange

Rate)

Example