ANOVA df SS MS Significance F Regression 1 5205388.04 5205388.04 20.9971 4.85E-05 Residual 38 9420585.51 247910.15 Total 39 14625973.55 Standard Coefficients t Stat P-value Lower 95% Upper 95% Error Intercept 4250.9742 180.2332 23.586 2.71E-24 3886.1113 4615.8372 Experience 6.6108 1.4427 4.5822 4.85E-05 3.6902 9.5313 (months) The analyst decides to use an a - 0.05 significance level. Is there a statistically significant relationship between Sales and Experience? No Yes It is not possible to tell with the given information.D Question 40 1 pts The regression model gives the relationship between Sales and Experience in [Select ] D Question 41 1 pts This is a friendly reminder about scientific notation. Excel reports very small numbers in scientific notation. For example, 8.15E-05 is typical notation for 8.15 x 10-5. The exponent of -5 means you have to move the decimal five places to the left and fill in with zeroes. What you get is 0.0000815. Here is the Excel output again for the regression of Sales and Experience: Regression Statistics Multiple R 0.5966 R Square 0.3559 Adjusted R Square 0.339 Standard Error 497.9058 Observations 40D Question 42 1 pts Using an a = 0.05 significance level, what was the evidence for your answer to the previous question? Because the p-value of the t-test for Experience is greater than 0.05, the analyst should not reject Ho : B1 = 0 so HA : B1 # 0 is unsupported. This means that there is NO statistically significant relationship between Sales and Experience. Because the p-value of the t-test for the Intercept is less than or equal to 0.05, the analyst should reject Ho : Bo = 0 and accept HA : Bo # 0. This means that there is a statistically significant relationship between Sales and Experience. Because the p-value of the t-test for Experience is less than or equal to 0.05, the analyst should reject Ho : B1 = 0 and accept HA : B1 / 0. This means that there is a statistically significant relationship between Sales and Experience. Because the p-value of the t-test for Experience is less than or equal to 0.05, the analyst should reject Ho : B1 - 0 and accept HA : B1 / 0. This means that there is NO statistically significant relationship between Sales and Experience. D Question 43 1 ptsStandard Coefficients t Stat P-value Error Lower 95% Upper 95% Intercept 4250.9742 180.2332 23.586 2.71E-24 3886.1113 4615.8372 Experience 6.6108 1.4427 4.5822 4.85E-05 3.6902 9.5313 (months) How many territories are in the sample? D Question 39 1 pts Refer to the regression output in the previous question. What is the regression model being estimated here? Oy = bot biz Oy = Bot Biate Oy = bot biz + E Oy = Bot BizA company organizes its sales into territories, each assigned to one sales representative. An analyst theorizes that the on-the-job experience level of the sales rep may be related to the amount of sales in each territory. The analyst decided to use the time the sales reps had been employed at the company to predict sales. After taking a random sample of sales territories, the analyst measured the last quarter's Sales in dollars and the Experience the sales rep had at the company in months. Here are the three tables from the regression results: Regression Statistics Multiple R 0.5966 R Square 0.3559 Adjusted R Square 0.339 Standard Error 497.9058 Observations 40 of ANOVA df SS MS F Significance F Regression 1 5205388.04 5205388.04 20.9971 4.85E-05 Residual 38 9420585.51 247910.15 Total 39 14625973.55