the analyst theorizes that the on-the-job experience level of the salesperson may be related to the amount of sales in each territory. after taking a random sample of sales territories, the analyst measured the last quarter's sales in dollars and the experience the sales associate had at the company in months. here are the three tables from the regression results: regression statistics multiple r 0.363 r square 0.1318 adjusted r square 0.1203 standard error 886.6953 observations 78 anova df ss ms f significance f regression 1 9067445.895 9067445.895 11.53284 0.00109 residual 76 59753370.17 786228.5549 total 77 68820816.07 coefficients standard error t stat p-value lower 95% upper 95% intercept 7815.8318 200.6383 38.9548 5.65e-52 7416.226 8215.4376 experience (months) 4.8595 1.431 3.3959 0.00109 2.0095 7.7095 remember that you have access to the regression output equations - roadmap.pdf download regression output equations - roadmap.pdf how many territories are in the sample?