Use the given data to find the equation of the regression line. Examine the scatterplot and identify a charac he data that is ignored by the regression line. 8 10 14.80 17.20 5 6 4 8.54 10.98 5.74 7 13.06 12 14 13 9 11 18.18 17.74 18.14 16.18 17.86
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- The personnel director of a large hospital is interested in determining the relationship (if any) between an employee’s age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year. Employee 1 2 3 4 5 6 7 8 9 10 Age 30 50 40 55 30 28 60 25 30 45 Sick Days 7 4 3 2 9 10 0 8 5 2 Copy Data The estimated regression line and the standard error are given. Sick Days=14.310162−0.2369(Age) se=1.682207se=1.682207 Find the 95% confidence interval for the average number of sick days an employee will take per year, given the employee is 26. Round your answer to two decimal places.A. run a simple regression- dependent variable is Weeks, independent variable is Age. B. run a multiple regression with dependent variable weeks and independent variable-age, married, head, manager and sales. C. Create the regular and standardized residual plots for both. Please show the tables when entering values of the regression for both the outputs and the scatter plots.Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 7 6 9 13 15 14 8 13.50 16.08 10.08 7.84 15.24 15.84 11.96 12 10 2 15.96 14.68 x 11 y 15.50 5 5.24 y=+x (Round to two decimal places as needed.)
- Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 13 11 7 10 12 4 9. 14 8 6. O. у 11.54 12.06 8.86 11.80 11.98 2.74 5.14 11.18 10.74 10.20 7.18 x (Round to two decimal places as needed.) %3D +Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 9. 8 11 9. 11 14 4 12 y 7.47 6.66 13.28 7.1 7.59 8.43 6.09 5.39 7.9 6.48 5.65 O A. OB. Oc. OD. Ay 25- Ay 25- Ay 25- AV 25- 20 20 20 20 15 15- 15- 15 10 10- 10- 10- 55 51 5- 0- Ó 5 10 15 20 25 0- 05 10 15 20 25 0- 5 10 15 20 25 O 5 10 15 20 25 Find the equation of the regression line. (Round the constant two decimal places as needed. Round the coefficient to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. O A. There is an influential point that strongly affects the graph of the regression line. O B. There is no characteristic of the data that is ignored by the regression line. O C. The data has a pattern that is not a straight line. D. There is no trend in the data.Based on the data shown below, use software such as Excel to calculate the slope and y-intercept and determine the regression line. y 22.4 3 19.35 4 22.3 21.15 21.9 7 20.35 8. 21.6 19.95 10 20 Round each value to two decimal places. Submit and End Priv Terr OCT 21 MacBook Pro 000 esc F5 F6 F7 F3 F4 F1 2$ & 4 5 6 Q W T Y tab RI # 3
- Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 12 7.44 11 9. 13 12.76 13 8.53 4 5.48 12 7.96 6. y 7.27 6.65 6.89 6.3 6.23 5.91 Create a scatterplot of the data. Choose the correct graph below. O A. O B. Oc. O D. 25 25- 25 Ay 25 20- 20- 20 20- 155 155 15 15 105 105 10- 105 55 55 53 05 10 15 20 25 05 10 15 20 25 05 10 15 20 25 05 10 15 20 25 Find the equation of the regression line. (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed) Identify a characteristic of the data that is ignored by the regression line, O A. There is no characteristic of the data that is ignored by the regression line. O B. There is an influential point that strongly affects the graph of the regression line. C. There is no trend in the data. O D. The data has a pattern that is not a straight line. 5,Create a scatterplot of the data. Choose the correct graph Identify a characteristic of the data that is ignored by the regression line.Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. X 6 10 8 9 11 12 13 y 10.46 16.87 14.27 15.72 17.71 18.26 18.49 y=+x (Round to two decimal places as needed.) 5 8.09 4 5.42 14 7 18.42 12.51
- y Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. X 11 7 7 4 13 13 10 12 14 13.32 6.78 7.89 8.93 5.83 5.44 y 7.59 6.64 8.05 7 5 D 6.3 5.94 (...) OA. B. O D. Q 25- Q 25- 20 20 15 Q Q 155 10 10- O C. 25+ 20 153 5- DOOR P 28 10 5- 0 5 0 5 10 15 20 25 0 5 10 15 20 25 0- 0 5 10 15 20 25 Find the equation of the regression line. y=0+0x (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. OA. There is no characteristic of the data that is ignored by the regression line. B. The data has a pattern that is not a straight line. OC. There is an influential point that strongly affects the graph of the regression line. Av Ay 25 20 15: 10 Q Q Aу Ay / 53 0 0 5 10 15 20 25Urgent please