(a) Develop an estimated regression equation using trede price and speed of execution to predict the overall satisfaction with the broker. (Round your numerical values to four decimal pleces.) Interpret the coefficient of determination. (Round your answer to two decimal places.) This regresion model exolains epproximately of the variation in the velues of uverall satisfaction in the sampie. (b) Use the i test to determine the significenca of each independent varieble. Test whether the regression parameter , s equal to zero. Find the p-vnlue. (Round your answer to four decimal pinces.) p-value - | What is the conclusion for the test at the 0.05 laval of significanca? O we fall to reject Ng. We cannot conclude thet there is a relationship between satistaction with trade price and overal satisfaction with the electronic trade. O We fail to reject N. We can conduce that there is a relationship between satisfaction with trade price and overall satisfaction with the electronic trade. O we reject . We cannot conclude that there is a relationship between satisfaction with trade price and averall satisfaction with the electronic trade. O We reject Mg. We can conclude that there is a relationship between satisfaction with trade price and overal satisfection with the eloctronic treda. Test whether the ragrassion parametar As equal to zero. Find the p-valua. (Round your anawer to four decimal places.) p-value = What is the condusion for the test at the 0.05 evel of signiicance? O Wa fail to rejact N, We can conduce that there is a relationship batween satisfaction with spoed af axacution and avarall satisfaction with the dectranik trade. O Wa raject H, We cannot concude that there is a relationship botween satisfaction with speed of execution and avorall satisfaction with the clectronic trade. O We reject Ma, We can corclude that there is a relotiormhip between setisfection with apeed of eeution and overall setisfaction with the electrunic trade. O We fall to reject He We cannot conclude that there is a relationship between satisfactkon with speed of exooution and overal satistaction with the electroric trade. (e) Interpret the estimated regression paremeters. (e) Interpret the estinated regression parameters A, ls our estimate of the overall satisfaction with the electronk trade when satisfaction with trade prke and satisfaction with speed of axccution are both Sulect v., is our estimate of change in overal satisfaction with the electronic trade if we hoid satisfaction with Selact estimate of change in averall satisfaction with the electronic trade if we hakd satisfaction with-Seec -Select v constant and have a 1 point increase in satisfaction withSalogt constant and have a 1 point inerease in satisfaction with s our Are the reiationshps indicated by these estimates what you weuld expect? O ves O No

Data are given below on the adjusted gross income x and the amount of itemized deductions taken by taxpayers. Data were reported in thousands of dollars. With the estimated regression equation  = 4.68 + .16x, the point estimate of a reasonable level of total itemized deductions for a taxpayer with an adjusted gross income of $52.5 thousand is $13.08 thousand. Adjusted Gross Income ($1000s) Reasonable Amount ofItemized Deductions ($1000s) 22   9.6   27   9.6   32   10.1   48   11.1   65   13.5   85   17.7   120   25.5   In the questions that follow, enter the dollar amounts requested. For example, if the regression results provide a value of 11.74 thousand, enter 11,740 as the dollar amount in the box. Use Table 1 of Appendix B. Develop a 95% confidence interval for the amount of total itemized deductions for all taxpayers with an adjusted gross income of $52,500 (to the nearest whole number).$ (  ,   ) Develop a 95% prediction interval for the amount of total…

Bloomberg Intelligence listed 50 companies to watch in 2018 (www.bloomberg.com/features/companies-to-watch-2018). Twelve of the companies are listed here with their total assets and 12-month sales. Total Assests ($ billions) 134.47 12-Month Sales ($ billions) Total Assests ($ billions) 12-Month Sales Company Eni SpA Discovery Communications Dong Energy Company AMC Entertainment ($ billions) 68.13 6.59 9.81 4.19 16.15 DSV 6.14 10.54 20.5 Alaska Air Boohoo.com 9.16 10.7 6.9 AMD 3.37 4.62 0.235 0.545 25.11 Cabot Oil & Gas 5.22 1.58 Danone 52.12 Engie 166.84 72 Experian 7.69 4.34 E Click here for the Excel Data File a. Draw a scatter diagram. 1. On the graph below, use the point tool to plot the point corresponding to the first Sales and her Earnings Sales1). 2. Repeat the process for the remainder of the sample (Sales 2, Sales 3, ... ). 3. To enter exact coordinates, dooble-click on the point and enter the exact coordinates of x and y. Tools 90 80 point 2 point 3 70 Ch13_40 18e.xlsx…

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