Normal Probability Plot12010080604020-20-40-60-80-100-3-1Z ValueReferring to Table 12-11, which of the following is the correct alternative hypothesis for testing whether there is a linear relationship between revenue andthe number of downloads?Seleccione una:O A.H: B1 # 0O B.H: b1 = 0OC.H: b1 + 0OD.H1: B1 = 0 TABLE 12-11A computer software developer would like to use the number of downloads (in thousands) for the trial version of his new shareware to predict the amountof revenue (in thousands of dollars) he can make on the full version of the new shareware. Following is the output from a simple linear regression along withthe residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:Regression StatisticsMultiple RR SquareAdjusted R SquareStandard Eror0.86910,75540.746744.4765Observations30.0000ANOVASignificance F0.0000dfSS171062.9193 171062.919355388.4309226451.3503MSRegressionResidual186.4759281978. 1582Total29InterceptDownloadCoefficients95.06143.7297Standard Eror26.91830.4011t Stat3.53159.2992P-value0.00150.0000Lower 95%-150. 2009Upper 95%39.92182.90824.5513Download Residual Plot12010080604020-20-4060-80-1000.0020.0040.0060.0080.00100.00120.00DownloadNormal Probability Plot12010080604020Residuals

For the given question , The Null Hypothesis would be that there is not a significant relationship…

Referring to Table 12-11, which of the following is the correct alternative hypothesis for testing whether there is a linear relationship between revenue and the number of downloads? Seleccione una: O A. H: B1 = 0 O B. H1: b1 = 0 OC. H: b1 0 O D. H: B1 = 0

Referring to Table 12-11, which of the following is the correct alternative hypothesis for testing whether there is a linear relationship between revenue and the number of downloads? Seleccione una: O A. H: B1 = 0 O B. H1: b1 = 0 OC. H: b1 0 O D. H: B1 = 0

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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Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…
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Referring to Scenario 13-11, which of the following is the correct interpretation for the slope coefficient?a) For each decrease of 1 thousand downloads, the expected revenue is estimated to increase by $3.7297 thousands.b) For each increase of 1 thousand downloads, the expected revenue is estimated to increase by $3.7297 thousands.c) For each decrease of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.d) For each increase of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.