Suppose your data analyst performs a kruskal wallis

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Basic Marketing Research
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Chapter 17 / Exercise 6
Basic Marketing Research
Brown/Churchill
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Suppose your data analyst performs a Kruskal-Wallis test of the above data and reports a p-value of 0.0056. What further information do you need about this test in order to interpret this p-value?
CHAPTER 15-17 QUESTIONSOne-way ANOVA: Hwy MPG versus Drive Analysis of VarianceSource DF Adj SS Adj MS F-Value P-ValueDrive 2 4542 2270.79 127.59 Error 306 5446 17.80Total 308 9988Tukey Pairwise Comparisons Grouping Information Using the Tukey Method and 95% ConfidenceDrive N Mean GroupingF 167 33.353 A 61 25.787 R 81 25.568 Means that do not share a letter are significantly different.Using the same Highway Mileage dataset as in Questions 1-4, we are interested in a regression model to predict Hwy MPG from type of Drive. To prepare for this, we first do the 1-way ANOVA shown above. Assume that the conditions for a valid 1-Way ANOVA are satisfied. Use this to answer Questions 5-8. 0.000ABB
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Basic Marketing Research
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Chapter 17 / Exercise 6
Basic Marketing Research
Brown/Churchill
Expert Verified
6.In the Tukey simultaneous 95% confidence intervals for this ANOVA, which interval(s) will not include 0?I.Front – All II.Front – RearIII.All – Rear
7.In the regression of Hwy MPG versus Drive, if we use All-Wheel Drive as the reference category, the slope of the Rear Wheel Drive predictor will be:
8.In the regression of Hwy MPG versus Drive using All-Wheel as the reference, will the slope of Rear Wheel be significant at 5%? For a recent season, several variables were recorded for 125 professional golfers. We are interested in using multiple regression to predict Earnings ($) from the predictors indicated in the backward elimination output (with some deletions) below. Use this output toanswer Questions 9 & 10. Regression Analysis: Earnings ($) versus DrDist, DrAccu, GIR, Sand Saves, Scrambling Backward Elimination of TermsCandidate terms: DrDist, DrAccu, GIR, Sand Saves, Scrambling------Step 1----- -----Step 2----- -----Step 3-----Coef P Coef P Coef Constant -11280801 -7264460 -4296110DrDist 12222 0.448DrAccu -58196 0.026 -71841 0.000 GIR 107488 0.008 121557 0.001 Sand Saves 48630 0.009 46404 0.012 Scrambling 66373 0.114 58872 0.149P
S 936403 934761 939054R-sq 21.64% _____% 19.87%R-sq(adj) 18.35% _____% 17.88%R-sq(pred) 12.93% 13.60% 14.14%Mallows’ Cp 6.00 4.58 4.69α to remove = 0.05

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