table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line,y^=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.

Hours Studying: 0,1,3,4,5

Midterm Grades:71,72,78,86,98

Step1:Find the estimated slope. Round your answer to three decimal places.

Step 1:Find the estimated slope.

Step 2: Find the estimated y-intercept

step 3: Determine if the statement is true or false "all points predicted by the linear model fall on the same line"

step 4: Find the estimated value of y

step 5: According to the estimated linear model, if the value of the independent variable is increased by one unit , then the change in the dependent variable y is given by?

step 6: Find the value of the coefficient of determination