Consider the following monthly revenue data for an up-and-coming cyber security company.

Sales Data

Month	Revenue (Thousands of Dollars)	Month	Revenue (Thousands of Dollars)
1

326

10

816

2

552

11

827

3

535

12

846

4

571

13

850

5

636

14

849

6

685

15

854

7

700

16

867

8

705

17

875

9

787

18

881

The summary output from a regression analysis of the data is also provided.

Regression Statistics

Multiple R	0.918354253

R Square	0.843374534

Adjusted R Square	0.833585442

Standard Error	63.3992952

Observations	18

Regression	1

346,295.581011

346,295.581011

86.15452451

Residual	16

64,311.530100

4019.470631

Total	17

410,607.111111

Stat	P-value
Intercept	477.24183007

31.17737714

15.30731171

5.63495E-11

Month	26.73477812

2.880298772

9.28194616

7.66663E-08

Step 3 of 3 :

What percent of the variation in revenue is explained by the linear time trend model? Round to two decimal places, if necessary.