Are students who get high grades in Biology more likely to get high grades in American Literature? Students who are good in one subject tend to be good at other subjects, but is the tendency significant? To answer this question, suppose Isaac acquires course grade-point average (GPA) data from a random sample of 65 students who took both Biology and American Literature. He plans to assess the strength of the linear association between Biology GPA (explanatory variable) and American Literature GPA (response variable) in the population using the null hypotheses HO:ß = 0 against the alternative H1:ß > 0, where ß is the slope of the population regression line. The alternative reflects Isaac's belief that, in the population, students who make higher grades in Biology tend to make higher grades in American Literature. The summary statistics are shown in the table. Correlation coefficient Regression slope b 0.443 Sample size n 65 0.285 Answer: 64 Determine the degrees of freedom for the t-statistic. Standard error of regression slope Look upon the formula! Try again SEb 0.244 Statistic f 1.816

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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THE ANSWER IS NOT 64.

Are students who get high grades in Biology more likely to get high grades in American Literature? Students
who are good in one subject tend to be good at other subjects, but is the tendency significant? To answer this
question, suppose Isaac acquires course grade-point average (GPA) data from a random sample of 65 students
who took both Biology and American Literature.
He plans to assess the strength of the linear association between Biology GPA (explanatory variable) and
American Literature GPA (response variable) in the population using the null hypotheses HO:ß = 0 against the
alternative H1:ß > 0, where ß is the slope of the population regression line. The alternative reflects Isaac's belief
that, in the population, students who make higher grades in Biology tend to make higher grades in
American Literature.
The summary statistics are shown in the table.
Correlation
coefficient
Regression
slope
b
0.443
Sample
size
n
65
0.285
Answer: 64
Determine the degrees of freedom for the t-statistic.
Standard error of
regression slope
Look upon the formula!
Try again
SEb
0.244
Statistic
f
1.816
Transcribed Image Text:Are students who get high grades in Biology more likely to get high grades in American Literature? Students who are good in one subject tend to be good at other subjects, but is the tendency significant? To answer this question, suppose Isaac acquires course grade-point average (GPA) data from a random sample of 65 students who took both Biology and American Literature. He plans to assess the strength of the linear association between Biology GPA (explanatory variable) and American Literature GPA (response variable) in the population using the null hypotheses HO:ß = 0 against the alternative H1:ß > 0, where ß is the slope of the population regression line. The alternative reflects Isaac's belief that, in the population, students who make higher grades in Biology tend to make higher grades in American Literature. The summary statistics are shown in the table. Correlation coefficient Regression slope b 0.443 Sample size n 65 0.285 Answer: 64 Determine the degrees of freedom for the t-statistic. Standard error of regression slope Look upon the formula! Try again SEb 0.244 Statistic f 1.816
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