In the context of mathematical modeling, when we use one variable to predict the values of another, the variable used as the basis for the prediction is known as the:
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Practise MYP Standard Mathematics questions on 9.2 Bivariate Data and review the explanations to check your understanding.
Use these questions for topic practice and to find ideas you want to revisit in your notes or lessons.
In the context of mathematical modeling, when we use one variable to predict the values of another, the variable used as the basis for the prediction is known as the:
If a specific data point in a bivariate set satisfies and , in which quadrant relative to the mean point does it lie, and what is the sign of its contribution to the covariance?
A researcher is studying the relationship between the concentration of a certain fertilizer () and the height of sunflower plants (). If the goal is to predict how tall a sunflower will grow based on a specific amount of fertilizer used, which variable is the independent variable?
True or False: If two variables and have a negative covariance, the line of best fit representing their relationship will have a negative gradient.
A scatter diagram comparing hours spent playing video games and test scores shows that the data points are very tightly clustered and trend downwards from left to right. This relationship is described as a __________.
Dependent variable
Constant
Independent variable
Outlier
Bottom-Left Quadrant; positive contribution
Top-Right Quadrant; positive contribution
Top-Left Quadrant; negative contribution
Bottom-Right Quadrant; negative contribution
Concentration of fertilizer
The type of soil used
The number of sunflowers
Height of sunflower plants
True
False
weak negative correlation
strong positive correlation
weak positive correlation
strong negative correlation