How can regression be applied in a situation of'regression based on a true story'?

Answer 1

In a'regression based on a true story' situation, say the true story is about a city's crime rate over the years. You start by gathering data on factors that might be related to crime rate, such as unemployment rate, population density, and police presence in the city. Then, you can choose an appropriate regression method, like multiple regression if there are multiple factors. By running the regression, you can find out which factors have a significant impact on the crime rate and how they interact. For example, it might show that as unemployment rate increases and police presence decreases, the crime rate is likely to go up.

Answer 2

When dealing with'regression based on a true story', let's consider a true story about a plant's growth. The variables could be amount of sunlight, water, and type of soil. To apply regression, you need to measure these variables accurately for different plants. You might use non - linear regression if the relationship between these variables and plant growth is not linear. The regression analysis will then help you understand how changes in sunlight, water, and soil type influence the growth of the plant. For example, it could show that there is an optimal amount of sunlight for maximum growth, and too much or too little water can stunt the growth depending on the soil type.

Answer 3

First, identify the variables from the true story. For instance, if it's a story about a student's academic progress, variables could be study hours and grades. Then, collect relevant data on these variables. After that, use regression techniques like linear regression. If the relationship seems linear between study hours and grades, the regression model can show how changes in study hours are likely to affect grades.