(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)X1 +x2=What is the coefficient of determination?If required, round your answers to four decimal places.Interpret the coefficient of determination.The input in the box below will not be graded, but may be reviewed and considered by your instructor.blank The American Association of Individual Investors (AAII) On-Line Discount Broker Survey polls members on their experiences with electronic trades handled by discount brokers. Aspart of the survey, members were asked to rate their satisfaction with the trade price and the speed of execution, as well as provide an overall satisfaction rating. Possible responses(scores) were no opinion (0), unsatisfied (1), somewhat satisfied (2), satisfied (3), and very satisfied (4). For each broker, summary scores were computed by computing a weightedaverage of the scores provided by each respondent. A portion the survey results follow (AAII website, February 7, 2012).Satisfaction with Satisfaction with Overall Satisfaction withBrokerageTrade PriceSpeed of ExecutionElectronic TradesScottrade, Inc.Charles Schwab3.33.13.43.23.33.3Fidelity Brokerage Services3.13.34.0TD Ameritrade2.93.53.7E*Trade Financial2.83.22.9(Not listed)2.43.22.7Vanguard Brokerage Services2.63.82.8USAA Brokerage Services2.43.83.6Thinkorswim2.62.62.6Wells Fargo Investments2.32.72.3Interactive Brokers3.74.04.0|Zecco.com2.52.52.5Firstrade Securities3.03.03.0Banc of America Investment Services4.01.02.0

The independent variables are satisfaction with trade price and satisfaction with speed of…

Answered: The American Association of Individual…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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You want to compare males and females in their use of coping strategies when engaged in conflict in relationships. You send surveys to couples obtained from marriage license application at the county clerk's office. You identify several distinct coping strategies on the survey and have the respondents rate their use of each strategy on a 7-point scale. You then compare scores that come from the two members of each relationship. If testing hypotheses about the effects of gender on use of coping strategies, it would be most appropriate to calculate a ... 1) independent-samples t 2) one sample t 3) paired samples t 4) z test
The American Association of Individual Investors (AAII) On-Line Discount Broker Survey polls members on their experiences with discount brokers. As part of the survey, members were asked to rate the quality of the speed of execution with their broker as well as provide an overall satisfaction rating for electronic trades. Possible responses (scores) were no opinion (0), unsatisfied (1), somewhat satisfied (2), satisfied (3), and very satisfied (4). For each broker summary scores were computed by calculating a weighted average of the scores provided by each respondent. Suppose a portion of the survey results follow. Brokerage Speed Satisfaction A 3.4 3.5 B 3.3 3.5 C 3.4 3.9 D 3.6 3.6 E 3.2 2.9 F 3.8 2.8 G 3.8 3.6 H 2.6 2.6 I 2.7 2.3 J 4.0 4.0 K 2.5 2.5 These ratings data on x = the quality of the speed of execution and y = overall satisfaction with electronic trades provided the estimated regression equation ŷ = 0.243 + 0.896x. At the 0.05 level of…
Predicting student proficiency test scores accounting for poverty and income measures: Data was collected on 608 school districts in Ohio (The Cincinnati Enquirer, Nov 30, 1997) using passage rates in 1996. The variables used in this analysis include: % passed – percent of all 4rth, 6th, 9th and 12th graders who passed the state’s exam eg: 93.85 means 93.85% % on ADC – percent of all students in the district receiving Aid for Dependent Children eg: 0.11 means 0.11% % Free Lunch – percent of all students who qualify for reduced- priced lunches Median Income – reported in dollars Now conduct a simple linear regression analysis for each of the variables predicting passing rate and fill in the table below. (posted in attachments). Question: Judging from the outputs summarized in above (analysis posted in attachments), the % free lunch variable provides the best linear regression equation available with this data to predict a county’s…
Español The Ellington Dukes are a minor-league baseball team in Ellington, Georgia. As with most other minor-league teams, the Dukes rely heavily on promotions to bring fans to the ballpark. These promotions are typically aimed at fans of specific ages. The management for the Dukes has planned its current promotional schedule according to the following estimates: 15% of fans attending Dukes games are ages 0 to 12, 10% are ages 13 to 18, 30% are ages 19 to 35, 25% are ages 36 to 55, and 20% are over 55. A statistical consulting firm for the Dukes surveyed a random sample of 150 fans attending Dukes games in order to see if these estimates are accurate. For the sample of 150, the observed frequency of each age category is given in the top row of numbers in the table below. The second row of numbers contains the frequencies expected for a random sample of 150 fans if the Dukes' management's estimates are accurate. The bottom row of numbers contains the following value for each of the age…
Please help on d and e
The Gays Love You Chamber of Business conducted a survey amongst 17 furniture retailers to identify the percentage of bad debts in each company’s debtors’ book.The bad debts percentages are as follows 2.2 4.7 6.3 5.8 5.7 7.2 2.6 2.4 6.1 6.8 2.2 5.7 3.4 6.6 1.8 4.4 and 5.4 (a) Calculate the skewness coefficient for percentage of bad debts. Is the data skewed?(b) Compute the first quartile and the third quartile of the percentage of bad debts amongst the furniture retailers surveyed. Interpret these quartile values.
A retailer is looking to evaluate its customer service. Management has determined that if the retailer wants to stay competitive, then it will have to have at least a 91% satisfaction rate among its customers. Management will take corrective actions if the satisfaction rate falls below 91%. They conduct a survey to determine if the satisfaction rate is lower than 91%. A survey of 1,450 customers showed that 1,305 were satisfied with their customer service. (a) Give the test statistic. (Round to two decimal places.) (b) Give the p-value (Round to three decimal places.) (c) State whether or not the management should take corrective action, based on a 5% significance level. Explain briefly.
In order to determine a realistic price for a new product that a company wants to market the company’s research department selected 10 sites thought to have essentially identical sales potential and offered the product in each at a different price. The resulting sales are recorded in the accompanying table: Price ($) Sales ($1,000s) 15.00 15 15.50 14 16.00 16 16.50 9 17.00 12 17.50 10 18.00 8 18.50 9 19.00 6 19.50 5 c). Find the equation of the sample regression line using Minitab. d). Interpret the meaning of the coefficients of the equation of the sample regression line.
Calculate the insurance company's objective risk using the following information: A health insurance company covers 5000 individuals. Out of these 5000 they expect 500 to be lost. Past data shows that in the past years losses were 288, 414, 230, 167
In determining the best companies to work for, a number of variables are considered, including size, average annual pay, and employee turnover rate. Moreover, employee surveys are conducted to assess aspects of the organization's culture, such as trust and openness to change. In an attempt to determine what affects turnover rate, a sample of 33 companies was randomly selected, and data were collected on the average annual bonus and turnover rate (%) for 2008. In addition, a questionnaire was administered to the employees of each company to arrive at a trust index (measured on a scale of 0-100). Below are the multiple regression results. Predictor Coef SE Coef T P R-square Constant 12.1005 0.7826 15.46 0.000 79.6% Trust Index -0.07149 0.01966 -3.64 0.001 Average Bonus -0.0007216 0.0001481 -4,87 0.000 The correct null hypotheses for testing the regression coefficient of Trust Index (TI) is βTI ≠ 0…

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