Parameters: .m= 10.90 b = 31.55 Answer the following questions based on the information given above. A student is predicted to earn a test score of 76. Which of the following values best represents the number of years that he or she has studied Spanish? Assume that there is a significant linear correlation between years of study and test score. 04.1 years 03.4 years 02.9 years 2.1 years

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 23PFA
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Parameters:
m= 10.90
• 6-31.55
Answer the following questions based on the information given above.
A student is predicted to earn a test score of 16. Which of the following values best represents
the number of years that he or she has studied Spanish? Assume that there is a significant
linear correlation between years of study and test score,
Ⓒ4.1 years
3.4 years
2.9 crears
2.1 years
Transcribed Image Text:Parameters: m= 10.90 • 6-31.55 Answer the following questions based on the information given above. A student is predicted to earn a test score of 16. Which of the following values best represents the number of years that he or she has studied Spanish? Assume that there is a significant linear correlation between years of study and test score, Ⓒ4.1 years 3.4 years 2.9 crears 2.1 years
A collection of paired data consists of the number of years that students have studied
Spanish and their scores on a Spanish language proficiency test. A computer program
was used to obtain the least squares linear regression line and the computer output is
shown below. Along with the paired sample data, the program was also given an x value
of 2 (years of study) to be used for predicting test score.
Equation: y = wx=)
= 0.83
• P=0.91
Transcribed Image Text:A collection of paired data consists of the number of years that students have studied Spanish and their scores on a Spanish language proficiency test. A computer program was used to obtain the least squares linear regression line and the computer output is shown below. Along with the paired sample data, the program was also given an x value of 2 (years of study) to be used for predicting test score. Equation: y = wx=) = 0.83 • P=0.91
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