A group believed there was a link between age and servings of vegetables consumed each month, so they took a survey.
Draw a scatter plot of the data gathered, and decide which statement would be true?
Responses
I would recommend that this group use a Non-Linear model, as the data curves from increasing to decreasing trends.
I would recommend that this group use a Non-Linear model, as the data curves from increasing to decreasing trends.
I would recommend that the group use a linear model for this data with a positive, weak correlation.
I would recommend that the group use a linear model for this data with a positive, weak correlation.
I would recommend that this group use a Non-Linear modes, as the data seems to always decrease in a strong correlation.
I would recommend that this group use a Non-Linear modes, as the data seems to always decrease in a strong correlation.
I would recommend that the group use a linear model for this data with a negative, strong correlation.
1 year ago
1 year ago
To decide which statement would be true, we need to analyze the scatter plot of the data gathered.
If the scatter plot shows a clear curve from increasing to decreasing trends, it indicates a nonlinear relationship between age and servings of vegetables consumed each month. Therefore, the statement "I would recommend that this group use a Non-Linear model, as the data curves from increasing to decreasing trends" would be true.
On the other hand, if the scatter plot shows a linear relationship with points scattered around a straight line, it indicates a linear relationship between age and servings of vegetables consumed each month. In this case, the statement "I would recommend that the group use a linear model for this data with a positive, weak correlation" could be true.
However, without seeing the scatter plot, it is not possible to determine which statement is true.