Set up the ANOVA table. (Round your for F to two decimal places and all other values to three decimal places.)SourceSumDegreesMeanof Variation of Squares of Freedom SquareRegressionErrorTotalFFind 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 =p-valueWhat is your conclusion?O Do not reject Ho. We conclude that the relationship between speed of execution and overall satisfaction is significant.● Reject Ho. We conclude that the relationship between speed of execution and overall satisfaction is significant.O Do not reject Ho. We cannot conclude that the relationship between speed of execution and overall satisfaction is significant.O Reject Ho. We cannot conclude that the relationship between speed of execution and overall satisfaction is significant. You may need to use the appropriate technology to answer this question.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 forelectronic 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 resultsfollow.Brokerage Speed SatisfactionOHo: B₁ * 0Ha: B₁:= 0Ho: B₁ ≥ 0Ha: B₁ <0Ho: B₁:Ha: B₁ * 0= 0|Ọ Ho: Bo #0Ha: Bo= 0AHo: Po = 0Ha: Bo # 0BсDEFGHIJK3.43.33.43.63.23.83.82.62.74.02.53.53.63.9These ratings data on x = the quality of the speed of execution and y = overall satisfaction with electronic trades provided the estimated regression equation ŷ = 0.154 + 0.923x. 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.3.62.92.83.62.52.34.02.5

The data speed and satisfaction is given.

Answered: Source Sum of Variation of Squares…

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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The standardized regression coefficient describes the relationship between X and Y in terms of ______. Group of answer choices the correlation between observed and predicted scores standard deviations the original units of measurement partitions of variance
Suppose data on advertising expenditures and revenue (both in thousands of dollars) for a certain restaurant follow. Advertising Expenditures Revenue 1 18 2 32 4 43 6. 41 10 52 14 53 55 (a) Let x equal advertising expenditures (in thousands of dollars) and y equal revenue (in thousands of dollars). Use the method of least squares to develop a straight line approximation of the relationship between the two variables. (Round your numerical values to two decimal places.) (b) Test whether revenue and advertising expenditures (both in thousands of dollars) are related at a 0.05 level of significance. (Use the F test.) State the null and alternative hypotheses. Ho: B, 2 0 Ha: P1 <0 O Hoi B1 = 0 Ha: B1 + 0 Ho: Po # 0 = 0 Ho: B1 + 0 Ha: B1 O Hoi Po Ha: Po + 0 = 0 20
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Question content area top Part 1 a. Using the pairs of values for all 1010 points, find the equation of the regression line. b. After removing the point with coordinates left parenthesis 7 comma 1 right parenthesis(7,1), use the pairs of values for the remaining 99 points and find the equation of the regression line. c. Compare the results from parts (a) and (b). 02468100246810xy A scatterplot has a horizontal x-scale from 0 to 10 in increments of 1 and vertical y-scale from 0 to 10 in increments of 1. Ten points are plotted with nine points, (1, 6), (2, 6), (3, 6), (1, 7), (2, 7), (2, 7), (3, 7), (1, 8), (2, 8), and (3, 8), forming a square and the tenth point (7, 1) being below and to the right of the square. Question content area bottom Part 1 a. What is the equation of the regression line for all 1010 points? ModifyingAbove y with caretyequals=enter your response hereplus+enter your response herex (Round to three…
Perform a complete analysis of this data using the plots and descriptive statistics you generated. You should write your analysis as though it is intended for someone who knows absolutely nothing about this data. You may use the following questions as a starting point to help guide your analysis: What do the data points in both columns represent? Are the data skewed? How do the data compare to one another? (Variation, median, etc.)
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The cost of a leading liquid laundry detergent in different sizes is given below. Size (ounces) Cost ($) 16 3.79 32 4.59 64 5.49 200 10.29 What is the slope of the least squares (best-fit) line? (Round your answer to three decimal places.) Answer______ Interpret the slope. (Round your answer to three decimal places.) As the number of ounces of liquid laundry detergent increases by one unit, the detergent cost increases by______ dollars on average
E Question Help Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $125 million. Use a significance level of a= 0.05. Budget ($)in Millions Gross ($) in Millions 36 22 119 70 75 54 122 68 55 120 20 11 149 107 110 72 122 110 107 107 64 103 221 39 7 283 49 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y =+ x. (Round to one decimal place as needed.) The best predicted gross for a movie with a $125 million budget is $ (Round to one decimal place as needed.) million. Enter your answer in each of the answer boxes. 1:17 P a @へ回 12/12/2 op

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Source Sum of Variation of Squares Regression Error Total Degrees of Freedom Mean Square 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= p-value