Finalstom - Excel Home Page Layout Formula Data Review View Help XC Copy Cash But A 4 rent Alignment A H pe your answers in the yellow boxes. Question 21 A national job placement company is interested in developing a model that might be used to explain the variation in starting salaries (per $1,000) from college graduates based on their college cumulative GPA. The job placement company randomly selected a nome, then gathered information on every 12th name in the list after Regression Statisties Multiple R 0.120295804 R Square 0.01447108 Adjusted R Square -0.006060772 Standard Error 14.31686833 Observations 50 ANOVA df 1 0.7041811243 Significance 0.405333795 Regression Residual Total MS 144.4670766 204.9727187 SS 144.4670766 9838.690498 9983.157575 48 49 Intercept GPA Coefficients 97.18622234 -7.629587396 Standard Error 29.53253398 9.087923041 Stot 3.290818946 -0.83953037 P-value 0.001877336 0.405333795 Lower 95% 37.80708304 -25.90208134 Upper 95% 156.5653616 10.6429065 A. What category of sampling most closely matches the description of the data collection? What would you suggest about the reliability of the data? MCO MC7 MCA MCO MCHO MC11 MC12 MC13 MC14 MC15 MC15 MCTZ MCT MC19 MCTO 5 Type here to search O V Form Data Review View of our AAE mal 5 - % A What category of sampling most closely matches the description of the data collection? What would you suggest about the reliability of the data? 8. What is the least squares regression model? C. What percent of the variation in starting salaries is explained by GPA? D. What hypothesis test would you use to test if the relationship is signicant at 0.05? is the regression model statistically signicant at the 0.05 level of signicance? E. In an attempt to convince more people that this is correct, they ask if you can run an alternative test than the one selected in part (D). Why can you be confident that any other test will produce the same result? MC MCT MCG MO MC10 MCI MC12 MC MCH4 MC15 MC MC17 Mct MIO MC20 SAT Type here to search RE 5 V Finalstom - Excel Home Page Layout Formula Data Review View Help XC Copy Cash But A 4 rent Alignment A H pe your answers in the yellow boxes. Question 21 A national job placement company is interested in developing a model that might be used to explain the variation in starting salaries (per $1,000) from college graduates based on their college cumulative GPA. The job placement company randomly selected a nome, then gathered information on every 12th name in the list after Regression Statisties Multiple R 0.120295804 R Square 0.01447108 Adjusted R Square -0.006060772 Standard Error 14.31686833 Observations 50 ANOVA df 1 0.7041811243 Significance 0.405333795 Regression Residual Total MS 144.4670766 204.9727187 SS 144.4670766 9838.690498 9983.157575 48 49 Intercept GPA Coefficients 97.18622234 -7.629587396 Standard Error 29.53253398 9.087923041 Stot 3.290818946 -0.83953037 P-value 0.001877336 0.405333795 Lower 95% 37.80708304 -25.90208134 Upper 95% 156.5653616 10.6429065 A. What category of sampling most closely matches the description of the data collection? What would you suggest about the reliability of the data? MCO MC7 MCA MCO MCHO MC11 MC12 MC13 MC14 MC15 MC15 MCTZ MCT MC19 MCTO 5 Type here to search O V Form Data Review View of our AAE mal 5 - % A What category of sampling most closely matches the description of the data collection? What would you suggest about the reliability of the data? 8. What is the least squares regression model? C. What percent of the variation in starting salaries is explained by GPA? D. What hypothesis test would you use to test if the relationship is signicant at 0.05? is the regression model statistically signicant at the 0.05 level of signicance? E. In an attempt to convince more people that this is correct, they ask if you can run an alternative test than the one selected in part (D). Why can you be confident that any other test will produce the same result? MC MCT MCG MO MC10 MCI MC12 MC MCH4 MC15 MC MC17 Mct MIO MC20 SAT Type here to search RE 5 V
