Answer:
See below
Step-by-step explanation:
B) The correlation coefficient is [tex]r=0.75[/tex], which can be determined by plugging the data into a TI-84 calculator.
C) A correlation coefficient of [tex]r=0.75[/tex] indicates that the correlation between the independent and dependent variable (x and y in this case) is moderately strong with a positive correlation. The closer [tex]r[/tex] is to 1, the stronger the positive correlation. The closer [tex]r[/tex] is to -1, the stronger the negative correlation. If [tex]r[/tex] is closer to 0, then there's no correlation.