Question

Collect a cross-sectional data set with one response variable

and at least four explanatory variables with at least 30
observations

Answer 1

To collect a cross-sectional data set with one response variable and at least four explanatory variables with at least 30 observations, follow the steps: select a sample, choose a response variable, select explanatory variables, collect data, and ensure unbiased data collection.

Step-by-step explanation:

To collect a cross-sectional data set with one response variable and at least four explanatory variables with at least 30 observations, you can follow these steps:

1. Select a sample of at least 30 individuals or observations.
2. Choose one response variable, which is the variable you are interested in measuring or predicting.
3. Select at least four explanatory variables, which are the variables that may influence the response variable.
4. Collect data for each individual or observation, recording the values for the response variable and the explanatory variables.
5. Ensure that the data collection process is random and unbiased, to obtain a representative sample.

For example, you can collect data on the heights of individuals (response variable) and their age, weight, gender, and physical activity level (explanatory variables) from a sample of at least 30 people. Record the data for each individual and analyze the relationships between the response variable and the explanatory variables.