Question

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. What percentage of the total variation in test scores can be explained by the linear relationship between years of study and test scorch? Are both of coefficients of regression statistically significant?

Answer 1

Complete Question

The complete question is shown on the first uploaded image

Answer:

The percentage is  83%

Step-by-step explanation:

Generally R-Sq is known as the coefficient of  determination and from the question the value is  83% and this R-Sq defines  the total variation in test scores can be explained by the linear relationship between years of study and test scores

So  83 % of the total variation in test scores is unexplained by the linear relationship between years of study and test scores