The only two true statements are that As study time increases, exam score tends to increase and There is a positive (linear) relationship between study time and exam score.
As study time increases, exam score tends to increase. This is true because the correlation coefficient is positive.
There is a positive (linear) relationship between study time and exam score. This is true because the correlation coefficient is positive.
There is a strong (linear) relationship between study time and exam score. This is false because the correlation coefficient is not close to 1.
There is a weak (linear) relationship between study time and exam score. This is not true because the correlation coefficient is not close to 0.
Study time and exam score have no (linear) relationship. This is false because the correlation coefficient is not 0.
Therefore, the only two true statements are that As study time increases, exam score tends to increase and There is a positive (linear) relationship between study time and exam score.