Lab Report Sample

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The study we chose to be looking at is the data set for American beers. Our main focus of the data set will be studying what affects the total amount of calories in a beer. A calorie is simply a unit of heat energy that fuels our body. The variables in our data set are the percentage of alcohol and the amount of carbohydrates in each beer. The goal of this analysis is to predict how the amount of carbohydrates and the total percentage of alcohol would result in a higher or lower caloric amount based on the variables. We also plan to predict the amount of calories in beer using each variable to find which one will have the best correlation to the numbers of calories in a beer. In this study, the percentage of alcohol and amount of carbohydrates was the …show more content…
The alternative hypothesis is higher alcohol percentage correlates to higher amount of calories in a beer. In relation to the percentage of alcohol and to the total amount of calories in a beer, there is a strong positive linear relationship (Scatter Plot). The sample regression equation is calories in a beer = 0.1392x+29.5966(Percentage Alcohol) which means that each level of alcohol volume would add approximately 30 calories. According to the coefficient of determination, 81.4% can be explained by the percentage of alcohol in a beer. The correlation of coefficient in this regression statistics is 0.9022 (SLR), which indicates that there is a high correlation between the percentage of alcohol and the amount of calories. Our p-value in this data set is 0.00, which gives strong evidence to reject the null hypothesis. The individual T-test, with a p value of 0.0 also tells us to reject the null hypothesis. The range in percentage alcohol is 10.1, with 10.5 (Complete Statistics) being the highest percentage of alcohol, and 0.4 the lowest percentage of alcohol. The mean of this data is 5.1

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