Use the data to predict the exam grade for a student who studies 10 hours per week. what is the equation of the line of best fit?
Predict the exam grade for a student who studies 10 hours per week. How did you make your prediction?

Exam grade obtained by the student is 94.5

Step-by-step explanation:

By using regression line calculator,

Equation of the regression line → y = 2.725x + 67.25

Here x = Hours studied

y = Exam grades

If a student studied for 10 hours per week,

By placing x = 10 hours in the regression equation,

y = 2.725(10) + 67.25

  = 27.25 + 67.25

  = 94.5

Therefore, exam grade obtained by the student is 94.5

an advantage of the standard deviation is that it increases as the dispersion of the data increases. e. the interquartile range is preferred when the data are not skewed or no have outliers. an advantage of the standard deviation is that it uses all the observations in its computation.

c: y > - 1/6x + 1

step-by-step explanation:

dashed line - meaning this < or > also not equal

solid line - meaning this < or > also equal

your answer is c because y > means up & it's shaded up, but y < means down

hope this ! : )