For each broker, summary scores were computed by computing a weighted average of the scores provided by each respondent. A portion the survey results follow (AAII website, February 7, 2012). (a) Develop an estimated regression equation using trade price and speed of execution to predict overall satisfaction with the broker. Let x1 represent satisfaction with Trade Price. Let x2 represent satisfaction with speed of execution. If required, round your answers to four decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: 300 ) (b) Use the t test to determine the significance of each independent variable. What are your conclusions at the 0.05 level of significance? The input in the box below will not be graded, but may be reviewed and considered by your instructor. (c) Interpret the estimated regression parameters. Are the relationships indicated by these estimates what you would expect? The input in the box below will not be graded, but may be reviewed and considered by your instructor. If required, round your answer to one decimal places. Do not round intermediate calculations. (e) What concerns (if any) do you have with regard to the possible responses the respondents could select on the survey? The input in the box below will not be graded, but may be reviewed and considered by your instructor