QUANTATIVE METHODS

Quantative methods



Quantative methods

4. Production of a regression model; interpretation and comments. Identification of likely external factors affecting the trend.

The following part displays the results of regression analysis:

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.997143883

R Square

0.994295924

Adjusted R Square

0.993979031

Standard Error

22624.54416

Observations

20

The above table depicts the table of output summary which is comprised of the values like R2 and Adjusted R2

ANOVA

 

df

SS

MS

F

Significance F

Regression

1.00

1606062773441.34

1606062773441.34

3137.64

0.00

Residual

18.00

9213659974.41

511869998.58

Total

19.00

1615276433415.75

 

 

 

The above table indicates the values of regression, residual and total's sum of square, mean square, f value and significance value. According to the P-value of the above table, regression modal is significantly important in this particular scenario as the p value is 0.00, ...