Question

Using "pima" dataset and ggplot2, visualize the association between age categories that you make as x = age, and y = glu field of the dataset, as shown below: Hi The question is already given in with an answer but looks like it is incorrect. Can you please advise. Thanks

Answer 1

To explore the relationship between age and glucose levels in the 'pima' dataset using ggplot2, one must first decide on the variables, create a scatter plot, determine if there's a relationship, calculate the best-fit line, find the correlation coefficient, make predictions, and evaluate the fit of the model.

Step-by-step explanation:

To visualize the association between age categories and the glucose (glu) field from the 'pima' dataset using ggplot2, follow these steps:

1. Decide the independent and dependent variables: Age will be the independent variable (x-axis) and glucose levels will be the dependent variable (y-axis).
2. Draw a scatter plot: Use ggplot2 to create a scatter plot with age on the x-axis and glucose levels on the y-axis.
3. C: Inspect the plot to determine if there is an apparent relationship between the variables.
4. Calculate the least-squares line: Find the best-fit line using the least-squares method and put the equation in the form ý = a + bx.
5. Find the correlation coefficient: Calculate the correlation coefficient to determine the strength and direction of the relationship.
6. F: Use the equation of the line to estimate the average glucose level for specific age categories.
7. G: Assess if a linear model is appropriate for the data based on the scatter plot and correlation coefficient.