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The table below gives the number of absences and the overall grade in the class for...

The table below gives the number of absences and the overall grade in the class for five randomly selected students. Based on this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for using the number of absences to predict a student's overall grade in the class. 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.

Number of Absences 0 1 4 6 11
Grade 87 72 67 66 54

PLEASE HELP With the following 6 steps bellow!!!!!:

Step 1 of 6: Find the estimated slope. Round your answer to three decimal places.

Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places.

Step 3 of 6: 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 yˆy^ is given by?

Step 4 of 6: Determine if the statement "Not all points predicted by the linear model fall on the same line" is true or false.

Step 5 of 6: Find the estimated value of y when x=6x=6. Round your answer to three decimal places.

Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places.

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