Answer:
To make a scatter plot of the given data, we can use the provided coordinate plane.
To plot the points, we will use the years as the x-coordinate and the corresponding scores as the y-coordinate.
Here are the coordinates for each data point:
(1985, 60)
(1986, 53)
(1987, 44)
(1988, 61)
(1989, 70)
Next, we can plot these points on the coordinate plane.
Looking at the scatter plot, we can determine whether there is a positive or negative correlation.
If the points on the scatter plot generally move from the lower left to the upper right, it indicates a positive correlation. If the points move from the upper left to the lower right, it indicates a negative correlation.
In this case, looking at the scatter plot, the points seem to move from the lower left to the upper right, indicating a positive correlation.
To predict the mathematics score corresponding to a science score of 50, we can draw a line parallel to the y-axis at 50 on the science score axis. Then, we can see where this line intersects with the scatter plot.
By drawing a line parallel to the y-axis at a science score of 50 and looking at the intersection point, we can estimate the mathematics score to be around 58.
To predict the science score corresponding to a mathematics score of 65, we can draw a line parallel to the x-axis at 65 on the mathematics score axis. Then, we can see where this line intersects with the scatter plot.
By drawing a line parallel to the x-axis at a mathematics score of 65 and looking at the intersection point, we can estimate the science score to be around 61.
Please note that scatter plots are used to show the relationship between two variables, and while we can make predictions based on the given data, these predictions are approximate and based on the trend observed in the scatter plot.