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.
It is impossible to make a recommendation without seeing the scatter plot of the data.
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.