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 significance, test whether speed of execution and overall satisfaction are related. (Use the F test.) State the null and alternative hypotheses. H0: ?1 ≥ 0 Ha: ?1 < 0H0: ?1 ≠ 0 Ha: ?1 = 0    H0: ?0 = 0 Ha: ?0 ≠ 0H0: ?0 ≠ 0 Ha: ?0 = 0H0: ?1 = 0 Ha: ?1 ≠ 0 Set up the ANOVA table. (Round your for F to two decimal places and all other values to three decimal places.) Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Regression           Error           Total           Find the value of the test statistic. (Round your answer to two decimal places.)   Find the p-value. (Round your answer to three decimal places.) p-value =  What is your conclusion?  overall satisfaction is significant

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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 significance, test whether speed of execution and overall satisfaction are related. (Use the F test.)
State the null and alternative hypotheses.
H0: ?1 ≥ 0
Ha: ?1 < 0H0: ?1 ≠ 0
Ha: ?1 = 0    H0: ?0 = 0
Ha: ?0 ≠ 0H0: ?0 ≠ 0
Ha: ?0 = 0H0: ?1 = 0
Ha: ?1 ≠ 0
Set up the ANOVA table. (Round your for F to two decimal places and all other values to three decimal places.)
Source
of Variation
Sum
of Squares
Degrees
of Freedom
Mean
Square
F p-value
Regression          
Error          
Total          
Find the value of the test statistic. (Round your answer to two decimal places.)
 
Find the p-value. (Round your answer to three decimal places.)
p-value = 
What is your conclusion?
 overall satisfaction is significant.
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