A marketing firm has collected data on the number of clicks on online ads (Clicks) and...

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A marketing firm has collected data on the number of clicks on online ads (Clicks) and the ad type (Ad_Type: 1 = Image, 2 = Text, 3 = Video). The data follows a Poisson distribution. The dataset is as follows: Ad_Type 1 1 2 2 9 88 2822 24 Clicks 12 15 a. 3 3 Fit a Poisson regression model to the data using the appropriate link function. Interpret the coefficients. b. Calculate the deviance of the model and explain its significance. C. Perform a likelihood ratio test comparing the full model to the null model (intercept only). d. Based on the results of the likelihood ratio test, provide a conclusion about the importance of the Ad_Type predictor. A marketing firm has collected data on the number of clicks on online ads (Clicks) and the ad type (Ad_Type: 1 = Image, 2 = Text, 3 = Video). The data follows a Poisson distribution. The dataset is as follows: Ad_Type 1 1 2 2 9 88 2822 24 Clicks 12 15 a. 3 3 Fit a Poisson regression model to the data using the appropriate link function. Interpret the coefficients. b. Calculate the deviance of the model and explain its significance. C. Perform a likelihood ratio test comparing the full model to the null model (intercept only). d. Based on the results of the likelihood ratio test, provide a conclusion about the importance of the Ad_Type predictor.