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RQ10: Does participants' gender significantly interact with the influencer industry (beauty, fitness, travel) for perceptions of influencer expertise? Remember, first determine if the interaction is

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RQ10: Does participants' gender significantly interact with the influencer industry (beauty, fitness, travel) for perceptions of influencer expertise? Remember, first determine if the interaction is significant. Include means and SD for all groups.RQ10: Dependent Variable: How much of an expert do you think the influencer is? Scale from 1 to 5, where 1 = Not at all an expert and 5 = Very much an expert. What Industry does the influencer represent: (1) What is your gender? Beauty, (2) travel, (3) fitness, Mean Sid. Deviation N Female Beauty 3.7708 1 25803 Travel 4.0851 1 52984 47 Fitness 3.7895 85498 19 Total 3.9035 1.32351 114 Male Beauty 2.9333 1.08066 30 Travel 4.4043 90071 47 Fitness 3 0000 72548 20 Total 3.6598 1.17160 97 Total Beauty 3.4487 1 25509 78 Travel 4.2447 1.25883 94 Fitness 3.3846 87706 39 Total 3.7915 1.25892 211 Tests of Between-Subjects Effects Dependent Variable: How much of an expert do you think the influencer is? Scale from 1 to 5, where 1 = Not at all an expert and 5 = Very much an expert. Source Type Ill Sum of Squares Mean Square Corrected Model 56.342" 5 11.268 8.355 C.001 Intercept 2424 123 2424.123 1797 384 4,001 Gender 3.500 0.500 5.362 012 Influencer Industry 39.563 2 19.701 14.567 2.001 Gender * Influencer Industry 16.675 2 5.338 6.182 1002 Interaction Error 276 482 205 1.349 Total 3366.000 211 Corrected Total 332 825 210 a. R Squared = . 169 (Adjusted R Squared = .149)Estimated Marginal Means of How much of an expert do you think the influencer is? Scale from 1 to 5, where 1 = Not at all an expert and 5 = Very much an expert. What is your 4.40 gender? Female 4.10 -Male 4/09 Estimated Marginal Means 340 3.20 3.05 Beauty Travel Fitness What Industry does the Influencer represent: (1) Beauty, (2) travel, (3) fitness,Two-Way ANOVA Significant Interaction To answer ROX, a 2 (gender) x 3 (humor level) ANOVA was performed. Data indicate that the effect of the level of humor is dependent upon the significant interaction between gender and humor level for purchase intention (F = 7.93, p

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