Data were collected to explain the satisfaction rating a caller gives a customer representative based on the amount of time the caller is on hold (hold time is expressed in minutes)*COMPLETE THE TABLE BELOW* 1. Data were collected to explain the satisfaction rating a caller gives a customer representative based onthe amount of time the caller is on hold (hold time is expressed in minutes)Complete the Table BelowRegressionStatisticsMultiple RR SquareAdjusted R Square0.661Standard ErrorObservations10ANOVASignificanceFdfMSRegressionResidual58.70.002625.3TotalStandardErrorUpper95%Coefficientst StatP-valueLower 95%Intercept23.904.4300.0006499Hold time-1.300.3030.003Based on the regression results, answer the following questionsa) What is the estimated regression equation?Rating =23.90 - 1,30 told time.b) What percentage of the variation in the rating is explained by hold time?Residual Ss€ =25.3SST = 5SR +55€ - 58.7725,3=85R? = SSR/SST = 587/84.Regression sSR =58.7Percentage of varation (o.c98)100. = c9.997What is the standard error of the error term in the regression equatión?mSE =5SE/aflerror) $25.318=3,1625 sE = NB,1625) = 1,7783SS E =25.3Standard error of error1,7783termn=1010-| = 9d) Is the coefficient on the variable “hold timę" statistically significantly different than 0 at the 10%level of significance? How do you know? (yeS, the coef on tne varjable hold time is stat.Ho RI =0HA: BI#ORexct null hye since p-valueca0.10 *nsUffient ev to conclude that Bichold +nan = 10 observationTest statrK=I Ind. vari.B1= -1.30SE(BI)=0.303 e) What is the predicted rating if a caller is on hold for 10 minutes?' ? Statisticaly significant *-300,303 t-4.29 04P -value=o,.003Rating = 23,90-1,30 hold timeTo prodict the rating wher hold time is equal to lominRating : 23, 30 - 1.30 hold timePredictedrating=23.90-1.30x10rating 23,90-1 Ratingla.9o10,90 ) What is the effect on rating of increasing the hold time by 1 minute?g) What is the 95% confidence interval for the coefficient of hold time?f) interpretatio n of Slopethe hold timeI then the predicted orexpectedAsIncreasingratingdecreasesby-1.30AS Increasing the hold time by !, then the effertsaamatrnydecreases by -130gJ The 95% confiderce interaval for the Coeficent of minute held teis (-1,9983, -0,6013)8' + tal2, n-zx SE(B') at a-os ta/2, n-2 =-(-130*0698)18) (- 130 -0698718, - 1.30+0,698718)Ei.99818, -1,998)18, o.601212)to 025,8=2.306 - 1,302,306 X0, 303(-1,9987,0.013)2

From the given table the Regression output needs to be generated: SUMMARY OUTPUT…

1. Data were collected to explain the satisfaction rating a caller gives a customer representative based on the amount of time the caller is on hold (hold time is expressed in minutes) Complete the Table Below Regression Statistics Multiple R R Square Adjusted R Square 0.661 Stondord Error

1. Data were collected to explain the satisfaction rating a caller gives a customer representative based on the amount of time the caller is on hold (hold time is expressed in minutes) Complete the Table Below Regression Statistics Multiple R R Square Adjusted R Square 0.661 Stondord Error

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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