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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
Consider the following monthly revenue data for an up-and-coming cyber security company.
Month | Revenue (Thousands of Dollars) | Month | Revenue (Thousands of Dollars) |
---|---|---|---|
1 |
326 |
8 |
705 |
2 |
552 |
9 |
787 |
3 |
535 |
10 |
816 |
4 |
571 |
11 |
827 |
5 |
636 |
12 |
846 |
6 |
685 |
13 |
858 |
7 |
700 |
The summary output from a regression analysis of the data is also provided.
Multiple R | 0.950622806 |
---|
R Square | 0.903683719 |
---|
Adjusted R Square | 0.894927694 |
---|
Standard Error | 50.25041687 |
---|
Observations | 13 |
---|
Regression | 1 |
---|
260,608.620879 |
260,608.620879 |
103.20706793 |
Residual | 11 |
---|
27,776.148352 |
2525.104396 |
Total | 12 |
---|
288,384.769231 |
Stat | P-value |
---|---|
Intercept | 415.42307692 |
29.56475264 |
14.05129554 |
2.26252E-08 |
Month | 37.84065934 |
---|
3.724808717 |
10.159087948 |
6.31286E-07 |
Step 2 of 3 :
Using the model from the previous step, predict the companys revenue for the 14th month. Round to four decimal places, if necessary.
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