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?
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 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 negative, strong correlation.
I
I would recommend that the group use a linear model for this data with a positive, weak correlation.
I cannot draw a scatter plot as I am an AI language model. However, based on the given information, the statement that would be true is: "I would recommend that the group use a linear model for this data with a negative, strong correlation."
To decide which statement is true, we need to analyze the scatter plot.
- If the scatter plot shows a strong correlation and the data consistently decreases, it could indicate a nonlinear relationship. The recommended statement suggesting a nonlinear model would be true in this case.
- If the scatter plot shows a curve from increasing to decreasing trends, it could also indicate a nonlinear relationship. The recommended statement suggesting a nonlinear model would be true in this case as well.
However:
- If the scatter plot shows a strong negative correlation (i.e., the data points are clustered in a downward sloping pattern), it suggests a linear relationship with a negative correlation. The recommended statement suggesting a linear model with a negative, strong correlation would be true.
- If the scatter plot shows a weak positive correlation (i.e., the data points are scattered with a slight upward trend), it suggests a linear relationship with a weak positive correlation. The recommended statement suggesting a linear model with a positive, weak correlation would be true.
We cannot determine the true statement without seeing the scatter plot and assessing the shape and strength of the relationship between age and servings of vegetables consumed each month.