urgent .. need answer asap

this is one single question so please answer all

data is attached

Afirm that operates a large sales force would like to build a system to monitor the progress of new agents. A key task for agents is to open new accounts. To build the system, the firm has monitored activities of new agents over the past two years. The response of interest is the profit to the firm in dollars) of contracts sold by agents over their first year Among the possible explanations of this performance is the number of new accounts developed by the agent during the first three months of work. Formulate the Simple Regression Model with Y given by the natural bog of profit from sales and X given by the natural log of number of account and complete parts a through (d). Click the icon to view the datatable The value of the most negative rock (Found to three decimal places as needed) It occurs where the natal logot the number of accounts lex and the natural log of profit from salos is Y Type intogs or omis) b) Explain some characteristics that distinguish this employee from the others. Hint Consider the data in the Earty Commission and Early Selling columnsBoth are measured in dollars and measure the qually of in the first months .the correct answer OA. Unlike any of the other employees, this employee had a value of 2010 for the number of accounts. OB Unlike any of the other employees, this employee has values of zero for any commission and early selling OC. This employee developed the greatest profit to the firm over the first year. OD. This employee developed the highest quality of business during his first three months. (C) How does the tit change if this point is set aside, excluded from the original regression? Compare the fined model both with and without this employee. The fitted model with this employee is Round to three decimal places as needed) The fitted model without this employee is ,-.x (Round to three decimal places as needed) The outlier (using the standard errors from the regression without the outlet to compare the estimates causes the estimate of the intercept bo to shift by to shit by standard errors. Further, the value ofe? and the value of the {Round to one decimal place as needed.) by standard errors and the estimate of the slope (d) Explain the magnitude of the change in the fit. Why does the fit change by so much or so little? Choose the correct answer below. A. The estimates of the intercept and slope change by a moderately small amount (less than 1.5 standard errors) partly because the outlier is not leveraged. B. The estimates of the intercept and slope change by a moderately large amount (more than 1.5 standard errors) partly because the outlior is not loveraged. OC. The estimates of the Intercept and slope change by a moderately large amount (more than 1.5 standard errors) party because the outlier is strongly leveraged. D. The estimates of the intercept and slope change by a moderately small amount (less than 1,5 standard errors) partly because the outlier is strongly leveraged, Log of Log of Profit from Number of Early Sales Accounts Commission Early Selling 9.8151 3.0882 100.47 12,894 10.1451 2.8788 2.682.53 160,421 10.0493 2 2003 426.23 613,690 9.7463 5.5585 2.818.27 3.176.775 10.4612 3.6172 10.660.56 451,910 9.6789 1.7852 85.24 3.148.697 9.3143 2 9887 1.367 28 266,277 9.9513 3.2504 3,177.42 103.492 9.9361 2.4031 2.075.57 61,924 10.3863 3.0028 180.86 725.421 10.1965 2.5636 3.778.65 3.258,273 10.2431 3.8016 2.126.52 790,537 10.7868 5.2103 3.786.29 9,273,983 9.8439 3.0777 789.84 20.785 10.4898 3.1877 2.211.22 331,467 10.2103 3.4901 272.14 691,906 10.3149 3.6356 2.384.70 486,982 10.2427 2.4865 682.50 426,200 10.7288 2.3097 436.60 64,073 10.7508 5.0086 4.502.62 2.844,697 4.0631 1.1398 0.00 0 7.2658 3.2075 288.30 80.764 8.7592 3.3004 175.39 23 289 8.9519 3.8674 316.70 565,696 8.4449 2.6296 12.54 75.976 9.1902 2.4764 0.00 270.039 9.4095 1.7848 99.93 1.914 10.2345 3.6476 2.016.53 325,918 9.7784 2.7633 1,131.61 443,261 9.4522 2.0835 243.28 132,171 10.5421 5.3655 1,352.49 1.913,332 9.3944 2.7676 641.28 148,455 10.3885 2.6345 0.00 119,404 11.5273 5.9185 3.091.49 3.128.946 10.4285 4.4363 2.920.01 763.730 10.7557 3.3882 679.49 297.322 9.7772 3.1375 41.57 28.862 9.8199 2.8764 3.165.04 102.927 9.0308 2.4841 99.60 47,156 10.3362 3.1313 975.87 307.675 10.2046 3.0462 1,413.37 91,804 10.1209 2.7094 448.37 323 329 10.7116 3.0915 3,649.06 2.789,463 10.8301 3.0877 4.414.35 4.567,414 10.9761 3.5934 2.166.04 5.979.814 10.3012 3 2097 7.981.76 650,562 10.2523 2.6323 1,004.37 42,793 11.2953 3.0407 518.42 3.545.682 11.2024 3.0897 1,778.23 585.993 9.1441 2.9487 791.85 148.789 Log of Profit Log of Early Early Selling from Sales Number of Commission Accounts Afirm that operates a large sales force would like to build a system to monitor the progress of new agents. A key task for agents is to open new accounts. To build the system, the firm has monitored activities of new agents over the past two years. The response of interest is the profit to the firm in dollars) of contracts sold by agents over their first year Among the possible explanations of this performance is the number of new accounts developed by the agent during the first three months of work. Formulate the Simple Regression Model with Y given by the natural bog of profit from sales and X given by the natural log of number of account and complete parts a through (d). Click the icon to view the datatable The value of the most negative rock (Found to three decimal places as needed) It occurs where the natal logot the number of accounts lex and the natural log of profit from salos is Y Type intogs or omis) b) Explain some characteristics that distinguish this employee from the others. Hint Consider the data in the Earty Commission and Early Selling columnsBoth are measured in dollars and measure the qually of in the first months .the correct answer OA. Unlike any of the other employees, this employee had a value of 2010 for the number of accounts. OB Unlike any of the other employees, this employee has values of zero for any commission and early selling OC. This employee developed the greatest profit to the firm over the first year. OD. This employee developed the highest quality of business during his first three months. (C) How does the tit change if this point is set aside, excluded from the original regression? Compare the fined model both with and without this employee. The fitted model with this employee is Round to three decimal places as needed) The fitted model without this employee is ,-.x (Round to three decimal places as needed) The outlier (using the standard errors from the regression without the outlet to compare the estimates causes the estimate of the intercept bo to shift by to shit by standard errors. Further, the value ofe? and the value of the {Round to one decimal place as needed.) by standard errors and the estimate of the slope (d) Explain the magnitude of the change in the fit. Why does the fit change by so much or so little? Choose the correct answer below. A. The estimates of the intercept and slope change by a moderately small amount (less than 1.5 standard errors) partly because the outlier is not leveraged. B. The estimates of the intercept and slope change by a moderately large amount (more than 1.5 standard errors) partly because the outlior is not loveraged. OC. The estimates of the Intercept and slope change by a moderately large amount (more than 1.5 standard errors) party because the outlier is strongly leveraged. D. The estimates of the intercept and slope change by a moderately small amount (less than 1,5 standard errors) partly because the outlier is strongly leveraged, Log of Log of Profit from Number of Early Sales Accounts Commission Early Selling 9.8151 3.0882 100.47 12,894 10.1451 2.8788 2.682.53 160,421 10.0493 2 2003 426.23 613,690 9.7463 5.5585 2.818.27 3.176.775 10.4612 3.6172 10.660.56 451,910 9.6789 1.7852 85.24 3.148.697 9.3143 2 9887 1.367 28 266,277 9.9513 3.2504 3,177.42 103.492 9.9361 2.4031 2.075.57 61,924 10.3863 3.0028 180.86 725.421 10.1965 2.5636 3.778.65 3.258,273 10.2431 3.8016 2.126.52 790,537 10.7868 5.2103 3.786.29 9,273,983 9.8439 3.0777 789.84 20.785 10.4898 3.1877 2.211.22 331,467 10.2103 3.4901 272.14 691,906 10.3149 3.6356 2.384.70 486,982 10.2427 2.4865 682.50 426,200 10.7288 2.3097 436.60 64,073 10.7508 5.0086 4.502.62 2.844,697 4.0631 1.1398 0.00 0 7.2658 3.2075 288.30 80.764 8.7592 3.3004 175.39 23 289 8.9519 3.8674 316.70 565,696 8.4449 2.6296 12.54 75.976 9.1902 2.4764 0.00 270.039 9.4095 1.7848 99.93 1.914 10.2345 3.6476 2.016.53 325,918 9.7784 2.7633 1,131.61 443,261 9.4522 2.0835 243.28 132,171 10.5421 5.3655 1,352.49 1.913,332 9.3944 2.7676 641.28 148,455 10.3885 2.6345 0.00 119,404 11.5273 5.9185 3.091.49 3.128.946 10.4285 4.4363 2.920.01 763.730 10.7557 3.3882 679.49 297.322 9.7772 3.1375 41.57 28.862 9.8199 2.8764 3.165.04 102.927 9.0308 2.4841 99.60 47,156 10.3362 3.1313 975.87 307.675 10.2046 3.0462 1,413.37 91,804 10.1209 2.7094 448.37 323 329 10.7116 3.0915 3,649.06 2.789,463 10.8301 3.0877 4.414.35 4.567,414 10.9761 3.5934 2.166.04 5.979.814 10.3012 3 2097 7.981.76 650,562 10.2523 2.6323 1,004.37 42,793 11.2953 3.0407 518.42 3.545.682 11.2024 3.0897 1,778.23 585.993 9.1441 2.9487 791.85 148.789 Log of Profit Log of Early Early Selling from Sales Number of Commission Accounts