ABThe managers of a brokerage firm are interested in finding out if the number of new clients abroker brings into the firm affects the sales generated by the broker. They sample 12 brokers anddetermine the number of new clients they have enrolled in the last year and their sales amounts inthousands of dollars. These data are partially presented in the table with the following results:SST=1564.2, SSR=1227, E(X₁-X)² = 979.7 and Ŷ = 17.7+ 1.12X.DBroker Clients (X) Sales (Y)12:122711:22The 95% confidence interval estimate for the slope is0.471 to 1.9320.856 to 1.6360.532 to 1.708:0.707 to 1.533523738......to.....

SST=1564.2SSR=1227Regression equation is Sample size

Answered: The managers of a brokerage firm are…

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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Click this Video for Finding Correlation Coefficient by Using Formula. Yessica thought that there was a correlation between the amount of time students slept the evening before their final exam and their final exam grade. She took an SRS of 5 students in her class and recorded the sleep time the evening before their final exam, and their final exam score. Let the sleep time the evening before the final exam represents the explanatory variable, and the final exam score be the response variable. Below is a sample data set. x (hour) 8 9 3 9 1 2 3 4 5 Calculate the sample correlation coefficient (r) to three decimal places. r= 9 Why would we expect the correlation coefficient to be positive? As the sleep time increases, exam score increases As the sleep time increases, exam score decreases As the sleep time decreases, exam score increases There is no change in exam score to sleep time C E y (score) 91 94 51 100 90 C A
A traffic safety company publishes reports about motorcycle fatalities and helmet use. In the first accompanying data table, the distribution shows the proportion of fatalities by location of injury for motorcycle accidents. The second data table shows the location of injury and fatalities for 2061 riders not wearing a helmet. Complete parts (a) and (b) below. Click the icon to view the tables. (a) Does the distribution of fatal injuries for riders not wearing a helmet follow the distribution for all riders? Use α = 0.05 level of significance. What are the null and alternative hypotheses? O A. Ho: The distribution of fatal injuries for riders not wearing a helmet follows the same distribution for all other riders. H₁: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all other riders. B. Ho: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all other riders. H₁: The…
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The trend of thinner beauty pageant winners has generated charges that the contest encourages unhealthy diet habits among young women. Listed below are body mass indexes (BMI) for beauty pageant winners from two different time periods. Find the coefficient of variation for each of the two sets of data, then compare the variation. The coefficient of variation for the BMI's of beauty pageant winners from the 1920s and 1930s is %
THIS IS ENGINEERING DATA ANALYSIS 1. Given the following: c = 5, x1 = 7, x2 = 8, x3 = 10, x4 = 11, x5 =13, y1 = 5, y2 = 7, y3 = 9, y4 = 11, y5 = 13.Evaluate the following:
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