I need help answering these homework problems for my statistic class. Take a Test - Eliyah Atkins - Google Chrome X mathxl.com/Student/PlayerTest.aspx?testld=219131529¢erwin=yes DAT 473 A

I need help answering these homework problems for my statistic class.

Take a Test - Eliyah Atkins - Google Chrome X mathxl.com/Student/PlayerTest.aspx?testld=219131529&centerwin=yes DAT 473 A Fall 2020 Eliyah Atkins & | 09/27/20 8:02 PM Test: Exam 2 Time Remaining: 01:23:13 Submit Test This Question: 1 pt 4 16 of 20 (1 complete) This Test: 20 pts possible Which of the following statements is true? O A. The prediction interval generated from a simple linear regression model will be narrowest when the value of x used to generate the predicted y value is close to the mean value of x. O B. The prediction interval generated from a simple linear regression model will be widest when the value of x used to generate the predicted y value is close to the mean value of x. O C. The interval estimate for predicting a particular value of y given a specific x will be narrower than the interval estimate for the average value of y given a particular x. O D. The higher the r-square value, the wider will be the prediction interval based on a simple linear regression model. Click to select your answer. ? Type here to search 8:02 PM ~9/27/2020Take a Test - Eliyah Atkins - Google Chrome X mathxl.com/Student/PlayerTest.aspx?testld=219131529&centerwin=yes DAT 473 A Fall 2020 Eliyah Atkins & | 09/27/20 8:02 PM Test: Exam 2 Time Remaining: 01:23:08 Submit Test This Question: 1 pt 4 17 of 20 (1 complete) This Test: 20 pts possible Recently, an automobile insurance company performed a study of a random sample of 15 of its customers to determine if there is a positive relationship between the number of miles driven and the age of the driver. The sample correlation coefficient is r= .38. Given this information, which of the following is appropriate critical value for testing the null hypothesis at an alpha = .05 level? Round to four decimal places as needed O A. t= 2.6104 O B. t= 1.7709 O C. t= 1.7613 O D. t = 1.7531 Click to select your answer. ? Type here to search 8:02 PM ~9/27/2020Take a Test - Eliyah Atkins - Google Chrome X mathxl.com/Student/PlayerTest.aspx?testld=219131529&centerwin=yes DAT 473 A Fall 2020 Eliyah Atkins & | 09/27/20 8:02 PM Test: Exam 2 Time Remaining: 01:23:01 Submit Test This Question: 1 pt 4 18 of 20 (1 complete) This Test: 20 pts possible Use the following regression results to answer the question below. Which of the following is true? i Click the icon for regression results. O A. The correlation between x and y must be approximately 0.8851. O B. The correlation between x and y must be approximately 0.7835. O C. The correlation between x and y must be approximately - 0.7835. O D. The correlation between x and y must be approximately - 0.8851. i More Info - X Regression Statistics Multiple R 0.8851 R Square 0.7835 Adjusted R Square 0.7474 Standard Error 5.4006 Observations ANOVA MS Regression 633.242 633.242 21.711 Residual 175.000 29.167 Total 808.242 Coefficients Standard Enor t Stat P-value Intercept 5.93118 4.17721 1.41989 0.20545 Total Bill 2.71551 0.58279 4.65952 0.00347 Print Done Click to select your answer. ? Type here to search 8:02 PM ~9/27/2020Take a Test - Eliyah Atkins - Google Chrome X mathxl.com/Student/PlayerTest.aspx?testld=219131529&centerwin=yes DAT 473 A Fall 2020 Eliyah Atkins & | 09/27/20 8:02 PM Test: Exam 2 Time Remaining: 01:22:52 Submit Test This Question: 1 pt 19 of 20 (1 complete) This Test: 20 pts possible The following regression output is available. Notice that some of the values are missing. Given this information, what is the standard error of the estimate for the regression model? Round to two decimal places. i Click the icon to view regression output. O A. About 3.91 O B. About 1.98 O C. About 36.18 O D. About 6.02 1 More Info - X Regression Statistics Multiple R 0.754525991 Adjusted R Square 0.507782253 Standard Error ANOVA of SS MS Regression Residual Total 8 27.3727758 3.910397 63.55556556 Coefficients Standard Error Intercept 4.822953737 2.20457789 0.053825623 0.017694916 Print Done Click to select your answer. ? Type here to search 8:02 PM ~9/27/2020Take a Test - Eliyah Atkins - Google Chrome X mathxl.com/Student/PlayerTest.aspx?testld=219131529&centerwin=yes DAT 473 A Fall 2020 Eliyah Atkins & | 09/27/20 8:02 PM Test: Exam 2 Time Remaining: 01:22:44 Submit Test This Question: 1 pt 20 of 20 (1 complete) This Test: 20 pts possible The editors of a national automotive magazine recently studied 30 different automobiles sold in the United States with the intent of seeing whether they could develop a multiple regression model to explain the variation in highway miles per gallon. A number of different independent variables were collected. The following regression output (with some values missing) was recently presented to the editors by the magazine's analysts. Based on this output and your understanding of multiple regression analysis, what percentage of variation in the dependent variable is explained by the regression model? Click the icon to view the summary output table O A. approximately 82 percent O B. over 90 percent i Summary Output Table - X O C. about 37 percent O D. none of the above Regression Statistics Multiple R 0.906876 R Square Adjusted R Square Standard Error Observations 30 ANOVA SS MS Regression Residua 89.8834178 Total 506. 1666667 Coefficients Standard Error | t Stat P-value Lower 95% Upper 95% Intercept 41.77425 5.612843566 Curb Weight -0.00608 0.00145286 cylinders 0.959134 0.887531206 Horse Power 0.052399 0.023938405 Torque -0.01747 0.024737052 0 to 60 mph 0.492998 0.486960357 Price as Tested -0.00015 4.31238E-05 Displacement -2.11223 0.88675014 Print Done Click to select your answer. 8:02 PM Type here to search A'9/27/2020