Does the entrance test score determine the final exam score?

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SUMMARY

The discussion centers on the relationship between mathematics entrance test scores and final examination scores in an algebra course. The entrance test scores range from 22 to 76, while final exam scores range from 53 to 99 for a sample of 10 students. It concludes that a higher entrance test score does not necessarily imply a higher final exam score, as evidenced by the fluctuation in scores. The Least Squares Regression Line is suggested as a method to analyze the trend between the two sets of scores.

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  • Understanding of scatter plots and data visualization techniques
  • Familiarity with Least Squares Regression analysis
  • Basic knowledge of algebra and statistics
  • Ability to interpret correlation between two variables
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  • Research how to create scatter plots using tools like Excel or Python's Matplotlib
  • Learn about Least Squares Regression and how to calculate it using statistical software
  • Explore correlation coefficients to quantify the relationship between entrance and final exam scores
  • Investigate factors influencing student performance beyond entrance test scores
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Students, educators, and data analysts interested in understanding the correlation between entrance test scores and final exam performance, as well as those looking to apply statistical analysis in educational settings.

nycmathdad
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The table shows the mathematics entrance test scores x and the final examination scores y in an algebra course for a sample of 10 students.

x...22 29 35 40 44 48 53 58 65 76
y...53 74 57 66 79 90 76 93 83 99

(a) Sketch a scatter plot of the data.

(b) Find the entrance test score of any student with a final exam score in the 80s.

(c) Does a higher entrance test score imply a higher final exam score? Explain.

Let me see.

Part (a) is just plotting points on the xy-plane.

Part (b)
The entrance score is 65 as shown in the table above for the point (65, 83).

Part (c)
A higher entrance score does not imply a higher final exam score. The table shows how entrance scores and final exam scores fluctuate. The point (76, 99) shows that a high entrance score led to a high final exam score but the case is different for (48, 90). A low entrance score of 48 led to a high final exam score of 90. Many factors lead to this fluctuation in terms of entrance scores versus final exam scores.
 
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This question is poorly worded, but I expect you are supposed to get a Least Squares Regression Line, so that you can use the equation to answer part (b) and determine if there is a trend in part (c).
 
Prove It said:
This question is poorly worded, but I expect you are supposed to get a Least Squares Regression Line, so that you can use the equation to answer part (b) and determine if there is a trend in part (c).

Ok. I will research this problem online.
 
The data are given in order increasing entrance score. The corresponding final scores are:
53 74 57 66 79 90 76 93 83 99
The scores increase from
53 to 75, from 57 to 66, from 66 to 76, from 76 to 989, and from 83 to 99, 5 times.
The scores deceas3 from
74 to 57 and from 93 to 83, 2 times,

While not always increasing the data are, overall, increasing.
 

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