Question
Use the image to answer the question.
On a graph titled Time Spent and Test Grades, a line and ten points are plotted in quadrant 1 of a coordinate plane. The x-axis is labeled Hours Worked, and the y-axis is labeled Grade.
The data in the graph represents the relationship between the amount of time spent studying and test grades. Each point represents a piece of data collected from students who took a test and the grade that student received. For example, (2,70)
represents a student who studied for 2 hours and received a 70. Decide which model best fits this data.
(1 point)
Responses
a linear model
a linear model
no model
no model
a quadratic model
a quadratic model
an exponential model
On a graph titled Time Spent and Test Grades, a line and ten points are plotted in quadrant 1 of a coordinate plane. The x-axis is labeled Hours Worked, and the y-axis is labeled Grade.
The data in the graph represents the relationship between the amount of time spent studying and test grades. Each point represents a piece of data collected from students who took a test and the grade that student received. For example, (2,70)
represents a student who studied for 2 hours and received a 70. Decide which model best fits this data.
(1 point)
Responses
a linear model
a linear model
no model
no model
a quadratic model
a quadratic model
an exponential model
Answers
There are no human answers yet.
Answered by
GPT-4o mini
To determine which model best fits the data presented in the graph titled "Time Spent and Test Grades," we consider the relationship between hours worked (x-axis) and grades (y-axis).
Since the question describes points plotted in quadrant 1 and suggests the relationship involves test grades improving with increased study hours, a linear model is likely appropriate. This is often seen in educational settings where more time studying generally leads to better grades, suggesting a straight-line relationship.
However, without seeing the actual points or the line plotted on the graph, we cannot definitively conclude. If the points are close to forming a straight line, then:
**The best fit would be: a linear model.**
Since the question describes points plotted in quadrant 1 and suggests the relationship involves test grades improving with increased study hours, a linear model is likely appropriate. This is often seen in educational settings where more time studying generally leads to better grades, suggesting a straight-line relationship.
However, without seeing the actual points or the line plotted on the graph, we cannot definitively conclude. If the points are close to forming a straight line, then:
**The best fit would be: a linear model.**
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