SCIENTIFIC THINKING Several studies have found a correlation between the activity levels of brown fat tissue in research participants following exposure to cold and their percentage of body fat. Devise a graph that would present the results from such a study, labeling the axes and drawing a line to show whether the results show a positive or negative correlation between the variables. Propose two hypotheses that could explain these results.

Verified step by step guidance

1. Step 1: Identify the variables for the graph. The x-axis will represent the 'Exposure to cold' which can be quantified by duration or intensity of exposure. The y-axis will represent the 'Activity levels of brown fat tissue', measured by metabolic rate or another appropriate metric.
2. Step 2: Plot the data points on the graph. Each point represents the activity level of brown fat tissue for a participant at a specific level of cold exposure.
3. Step 3: Draw a line of best fit through the data points. Analyze the slope of this line to determine the type of correlation. If the line slopes upwards as it moves from left to right, it indicates a positive correlation; if it slopes downwards, it indicates a negative correlation.
4. Step 4: Label the graph appropriately. Include a title that describes what the graph represents, label each axis with the respective variable and units of measurement, and include a legend if multiple groups or conditions are plotted.
5. Step 5: Propose hypotheses based on the observed correlation. For example, if there is a negative correlation, one hypothesis could be that increased exposure to cold enhances the activity of brown fat tissue, which in turn reduces body fat percentage. Another hypothesis could be that individuals with lower body fat percentage have more active brown fat tissue, which becomes even more active with cold exposure.